AISTATS 2025 Accepted Papers
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Optimal Time Complexity Algorithms for Computing General Random Walk Graph Kernels on Sparse Graphs
Poster Session 2
Krzysztof Choromanski · Isaac Reid · Arijit Sehanobish · Kumar Avinava Dubey
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Hall A-E 92 | |
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On the Convergence of Locally Adaptive and Scalable Diffusion-Based Sampling Methods for Deep Bayesian Neural Network Posteriors
Poster Session 1
Tim Rensmeyer · Oliver Niggemann
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Hall A-E 173 | |
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SubSearch: Robust Estimation and Outlier Detection for Stochastic Block Models via Subgraph Search
Poster Session 1
Leonardo Martins Bianco · Christine Keribin · Zacharie Naulet
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Hall A-E 174 | |
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Hyperbolic Prototypical Entailment Cones for Image Classification
Poster Session 3
Samuele Fonio · Roberto Esposito · Marco Aldinucci
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Hall A-E 123 | |
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Double Debiased Machine Learning for Mediation Analysis with Continuous Treatments
Poster Session 2
Houssam Zenati · Judith Abécassis · julie Josse · Bertrand Thirion
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Hall A-E 102 | |
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ClusterSC: Advancing Synthetic Control with Donor Selection
Poster Session 3
Saeyoung Rho · Andrew Tang · Noah Bergam · Rachel Cummings · Vishal Misra
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Hall A-E 54 | |
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Information-Theoretic Causal Discovery in Topological Order
Poster Session 1
Sascha Xu · Sarah Mameche · Jilles Vreeken
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Hall A-E 40 | |
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Trustworthy assessment of heterogeneous treatment effect estimator via analysis of relative error
Poster Session 3
Zijun Gao
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Hall A-E 160 | |
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Model-Based Causal Feature Selection for General Response Types
Poster Session 3
Lucas Kook
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Hall A-E 198 | |
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Bayesian Off-Policy Evaluation and Learning for Large Action Spaces
Poster Session 1
Imad Aouali · Victor-Emmanuel Brunel · David Rohde · Anna Korba
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Hall A-E 58 | |
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Bayesian Principles Improve Prompt Learning In Vision-Language Models
Poster Session 1
Mingyu Kim · Jongwoo Ko · Mijung Park
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Hall A-E 164 | |
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Learning Geometrically-Informed Lyapunov Functions with Deep Diffeomorphic RBF Networks
Poster Session 3
Samuel Tesfazgi · Leonhard Sprandl · Sandra Hirche
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Hall A-E 23 | |
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Permutation Invariant Functions: Statistical Testing, Density Estimation, and Metric Entropy
Poster Session 3
Wee Chaimanowong · Ying Zhu
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Hall A-E 37 | |
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Posterior Mean Matching: Generative Modeling through Online Bayesian Inference
Poster Session 2
Sebastian Salazar · Michal Kucer · Yixin Wang · Emily Casleton · David Blei
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Hall A-E 69 | |
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Hyperboloid GPLVM for Discovering Continuous Hierarchies via Nonparametric Estimation
Poster Session 2
Koshi Watanabe · Keisuke Maeda · Takahiro Ogawa · Miki Haseyama
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Hall A-E 49 | |
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HACSurv: A Hierarchical Copula-Based Approach for Survival Analysis with Dependent Competing Risks
Poster Session 1
Xin Liu · Weijia Zhang · Min-Ling Zhang
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Hall A-E 97 | |
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The Uniformly Rotated Mondrian Kernel
Poster Session 3
Calvin Osborne · Eliza O'Reilly
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Hall A-E 168 | |
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MEDUSA: Medical Data Under Shadow Attacks via Hybrid Model Inversion
Poster Session 1
Asfandyar Azhar · Paul Thielen · Curtis Langlotz
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Hall A-E 57 | |
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Hybrid Transfer Reinforcement Learning: Provable Sample Efficiency from Shifted-Dynamics Data
Poster Session 1
Chengrui Qu · Laixi Shi · Kishan Panaganti · Pengcheng You · Adam Wierman
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Hall A-E 14 | |
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Functional Stochastic Gradient MCMC for Bayesian Neural Networks
Poster Session 1
Mengjing Wu · Junyu Xuan · Jie Lu
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Hall A-E 81 | |
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Approximate Equivariance in Reinforcement Learning
Poster Session 1
Jung Yeon Park · Sujay Bhatt · Sihan Zeng · Lawson Wong · Alec Koppel · Sumitra Ganesh · Robin Walters
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Hall A-E 205 | |
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Multi-Player Approaches for Dueling Bandits
Poster Session 1
Or Raveh · Junya Honda · Masashi Sugiyama
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Hall A-E 106 | |
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Composition and Control with Distilled Energy Diffusion Models and Sequential Monte Carlo
Poster Session 3
James Thornton · Louis Béthune · Ruixiang ZHANG · Arwen Bradley · Preetum Nakkiran · Shuangfei Zhai
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Hall A-E 36 | |
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A Shared Low-Rank Adaptation Approach to Personalized RLHF
Poster Session 1
Renpu Liu · Peng Wang · Donghao Li · Cong Shen · Jing Yang
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Hall A-E 162 | |
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Semiparametric conformal prediction
Poster Session 1
Ji Won Park · Kyunghyun Cho
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Hall A-E 83 | |
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Sampling in High-Dimensions using Stochastic Interpolants and Forward-Backward Stochastic Differential Equations
Poster Session 1
Anand Jerry George · Nicolas Macris
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Hall A-E 165 | |
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Minimum Empirical Divergence for Sub-Gaussian Linear Bandits
Poster Session 1
Kapilan Balagopalan · Kwang-Sung Jun
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Hall A-E 166 | |
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Memory-Efficient Optimization with Factorized Hamiltonian Descent
Poster Session 2
Son Nguyen · Lizhang Chen · Bo Liu · qiang liu
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Hall A-E 19 | |
Deeply supervised Nets
Paper Awards Talks
Chen-Yu Lee · Saining Xie · Patrick Gallagher · Zhengyou Zhang · Zhuowen Tu
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Fast Convergence of Softmax Policy Mirror Ascent
Poster Session 1
Reza Asad · Reza Babanezhad · Issam Hadj Laradji · Nicolas Le Roux · Sharan Vaswani
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Hall A-E 113 | |
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FreqMoE: Enhancing Time Series Forecasting through Frequency Decomposition Mixture of Experts
Poster Session 2
ziqi Liu
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Hall A-E 87 | |
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Bayesian Gaussian Process ODEs via Double Normalizing Flows
Poster Session 1
jian xu · Shian Du · Junmei Yang · Xinghao Ding · Delu Zeng · John Paisley
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Hall A-E 187 | |
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Revisiting Online Learning Approach to Inverse Linear Optimization: A Fenchel–Young Loss Perspective and Gap-Dependent Regret Analysis
Poster Session 2
Shinsaku Sakaue · Han Bao · Taira Tsuchiya
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Hall A-E 72 | |
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Fourier Circuits in Neural Networks and Transformers: A Case Study of Modular Arithmetic with Multiple Inputs
Poster Session 1
Chenyang Li · Yingyu Liang · Zhenmei Shi · Zhao Song · Tianyi Zhou
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Hall A-E 98 | |
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Advancing Fairness in Precision Medicine: A Universal Framework for Optimal Treatment Estimation in Censored Data
Poster Session 3
Hongni Wang · Junxi Zhang · Na Li · Linglong Kong · Bei Jiang · Xiaodong Yan
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Hall A-E 138 | |
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posteriordb: Testing, Benchmarking and Developing Bayesian Inference Algorithms
Poster Session 3
Måns Magnusson · Jakob Torgander · Paul Bürkner · Lu Zhang · Bob Carpenter · Aki Vehtari
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Hall A-E 9 | |
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Solving Estimating Equations With Copulas
Poster Session 2
Thomas Nagler
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Hall A-E 196 | |
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Signature Isolation Forest
Poster Session 1
Marta Campi · Guillaume Staerman · Gareth Peters · Tomoko Masui
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Hall A-E 167 | |
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On the Asymptotic Mean Square Error Optimality of Diffusion Models
Poster Session 1
Benedikt Fesl · Benedikt Böck · Florian Strasser · Michael Baur · Michael Joham · Wolfgang Utschick
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Hall A-E 121 | |
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Restructuring Tractable Probabilistic Circuits
Poster Session 3
Honghua Zhang · Benjie Wang · Marcelo Arenas · Guy Van den Broeck
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Hall A-E 12 | |
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Unveiling the Role of Randomization in Multiclass Adversarial Classification: Insights from Graph Theory
Poster Session 2
Lucas GNECCO HEREDIA · Matteo Sammut · Muni Sreenivas Pydi · Rafael Pinot · Benjamin Negrevergne · Yann Chevaleyre
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Hall A-E 118 | |
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Best-Arm Identification in Unimodal Bandits
Poster Session 3
Riccardo Poiani · Marc Jourdan · Emilie Kaufmann · Rémy Degenne
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Hall A-E 181 | |
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Corruption Robust Offline Reinforcement Learning with Human Feedback
Poster Session 3
Debmalya Mandal · Andi Nika · Parameswaran Kamalaruban · Adish Singla · Goran Radanovic
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Hall A-E 34 | |
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Policy Teaching via Data Poisoning in Learning from Human Preferences
Poster Session 3
Andi Nika · Jonathan Nöther · Debmalya Mandal · Parameswaran Kamalaruban · Adish Singla · Goran Radanovic
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Hall A-E 118 | |
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Poisoning Bayesian Inference via Data Deletion and Replication
Poster Session 2
Matthieu Carreau · Roi Naveiro · William Caballero
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Hall A-E 38 | |
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Contractivity and linear convergence in bilinear saddle-point problems: An operator-theoretic approach
Poster Session 2
Colin Dirren · Mattia Bianchi · Panagiotis D. Grontas · John Lygeros · Florian Dorfler
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Hall A-E 120 | |
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Nonparametric Distributional Regression via Quantile Regression
Poster Session 3
Cheng Peng · Stan Uryasev
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Hall A-E 99 | |
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Information-Theoretic Measures on Lattices for Higher-Order Interactions
Poster Session 1
Zhaolu Liu · Mauricio Barahona · Robert Peach
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Hall A-E 91 | |
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Risk-sensitive Bandits: Arm Mixture Optimality and Regret-efficient Algorithms
Poster Session 1
Meltem Tatlı · Arpan Mukherjee · Prashanth L.A. · Karthikeyan Shanmugam · Ali Tajer
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Hall A-E 172 | |
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Synthetic Potential Outcomes and Causal Mixture Identifiability
Poster Session 2
Bijan Mazaheri · Chandler Squires · Caroline Uhler
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Hall A-E 77 | |
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Analyzing the Role of Permutation Invariance in Linear Mode Connectivity
Poster Session 1
Keyao Zhan · Puheng Li · Lei Wu
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Hall A-E 134 | |
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Axiomatic Explainer Globalness via Optimal Transport
Poster Session 2
Davin Hill · Joshua Bone · Aria Masoomi · Max Torop · Jennifer Dy
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Hall A-E 145 | |
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Two-Timescale Linear Stochastic Approximation: Constant Stepsizes Go a Long Way
Poster Session 3
Jeongyeol Kwon · Luke Dotson · Yudong Chen · Qiaomin Xie
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Hall A-E 55 | |
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Bridging the Theoretical Gap in Randomized Smoothing
Poster Session 1
Blaise Delattre · Paul Caillon · Quentin Barthélemy · Erwan Fagnou · Alexandre Allauzen
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Hall A-E 41 | |
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Adapting to Online Distribution Shifts in Deep Learning: A Black-Box Approach
Poster Session 1
Dheeraj Baby · Boran Han · Shuai Zhang · Cuixiong Hu · Bernie Wang · Yu-Xiang Wang
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Hall A-E 43 | |
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Is Gibbs sampling faster than Hamiltonian Monte Carlo on GLMs?
Poster Session 2
Son Luu · Zuheng Xu · Nikola Surjanovic · Miguel Biron-Lattes · Trevor Campbell · Alexandre Bouchard-Côté
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Hall A-E 58 | |
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Subspace Recovery in Winsorized PCA: Insights into Accuracy and Robustness
Poster Session 2
Sangil Han · Kyoowon Kim · Sungkyu Jung
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Hall A-E 200 | |
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Synthesis and Analysis of Data as Probability Measures With Entropy-Regularized Optimal Transport
Poster Session 3
Brendan Mallery · James Murphy · Shuchin Aeron
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Hall A-E 137 | |
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Multi-agent Multi-armed Bandit Regret Complexity and Optimality
Poster Session 3
Mengfan Xu · Diego Klabjan
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Hall A-E 68 | |
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Anytime-Valid A/B Testing of Counting Processes
Poster Session 3
Michael Lindon · Nathan Kallus
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Hall A-E 28 | |
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Distance Estimation for High-Dimensional Discrete Distributions
Poster Session 2
Kuldeep S. Meel · Gunjan Kumar · Yash Pote
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Hall A-E 171 | |
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Mixed-Feature Logistic Regression Robust to Distribution Shifts
Poster Session 2
Qingshi Sun · Nathan Justin · Andres Gomez · Phebe Vayanos
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Hall A-E 74 | |
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Bayesian Inference in Recurrent Explicit Duration Switching Linear Dynamical Systems
Poster Session 2
Mikołaj Słupiński
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Hall A-E 192 | |
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On Local Posterior Structure in Deep Ensembles
Poster Session 1
Mikkel Jordahn · Jonas Vestergaard Jensen · Mikkel Schmidt · Michael Andersen
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Hall A-E 109 | |
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Learning a Single Index Model from Anisotropic Data with Vanilla Stochastic Gradient Descent
Poster Session 1
Guillaume Braun · Minh Ha Quang · Masaaki Imaizumi
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Hall A-E 117 | |
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Harnessing the Power of Vicinity-Informed Analysis for Classification under Covariate Shift
Poster Session 1
Mitsuhiro Fujikawa · Youhei Akimoto · Jun Sakuma · Kazuto Fukuchi
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Hall A-E 27 | |
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On adaptivity and minimax optimality of two-sided nearest neighbors
Poster Session 3
Tathagata Sadhukhan · Manit Paul · Raaz Dwivedi
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Hall A-E 135 | |
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Accuracy on the wrong line: On the pitfalls of noisy data for out-of-distribution generalisation
Poster Session 3
Amartya Sanyal · Yaxi Hu · Yaodong Yu · Yian Ma · Yixin Wang · Bernhard Schölkopf
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Hall A-E 133 | |
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High-Dimensional Differential Parameter Inference in Exponential Family using Time Score Matching
Poster Session 2
Daniel Williams · Leyang Wang · Qizhen Ying · Song Liu · Mladen Kolar
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Hall A-E 123 | |
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Learning to Negotiate via Voluntary Commitment
Poster Session 1
Shuhui Zhu · Baoxiang Wang · Sriram Ganapathi Subramanian · Pascal Poupart
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Hall A-E 47 | |
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Gated Recurrent Neural Networks with Weighted Time-Delay Feedback
Poster Session 2
N. Benjamin Erichson · Soon Hoe Lim · Michael Mahoney
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Hall A-E 55 | |
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Variational Adversarial Training Towards Policies with Improved Robustness
Poster Session 1
Juncheng Dong · Hao-Lun Hsu · Qitong Gao · Vahid Tarokh · Miroslav Pajic
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Hall A-E 195 | |
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Global Ground Metric Learning with Applications to scRNA data
Poster Session 1
Damin Kühn · Michael Schaub
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Hall A-E 22 | |
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Heterogeneous Graph Structure Learning through the Lens of Data-generating Processes
Poster Session 1
Keyue Jiang · Bohan Tang · Xiaowen Dong · Laura Toni
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Hall A-E 123 | |
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Batch, match, and patch: low-rank approximations for score-based variational inference
Poster Session 2
Chirag Modi · Diana Cai · Lawrence Saul
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Hall A-E 79 | |
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Sampling From Multiscale Densities With Delayed Rejection Generalized Hamiltonian Monte Carlo
Poster Session 3
Gilad Turok · Chirag Modi · Bob Carpenter
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Hall A-E 143 | |
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Multi-marginal Schrödinger Bridges with Iterative Reference Refinement
Poster Session 1
Yunyi Shen · Renato Berlinghieri · Tamara Broderick
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Hall A-E 11 | |
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Calibrated Computation-Aware Gaussian Processes
Poster Session 2
Disha Hegde · Mohamed Adil · Jon Cockayne
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Hall A-E 156 | |
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Robust Classification by Coupling Data Mollification with Label Smoothing
Poster Session 2
Markus Heinonen · Ba-Hien Tran · Michael Kampffmeyer · Maurizio Filippone
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Hall A-E 96 | |
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What Ails Generative Structure-based Drug Design: Expressivity is Too Little or Too Much?
Poster Session 2
Rafał Karczewski · Samuel Kaski · Markus Heinonen · Vikas Garg
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Hall A-E 4 | |
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Distributional Adversarial Loss
Poster Session 1
Saba Ahmadi · Siddharth Bhandari · Avrim Blum · Chen Dan · Prabhav Jain
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Hall A-E 33 | |
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Testing Conditional Independence with Deep Neural Network Based Binary Expansion Testing (DeepBET)
Poster Session 2
Yang Yang · Kai Zhang · Ping-Shou Zhong
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Hall A-E 197 | |
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Locally Private Sampling with Public Data
Poster Session 1
Behnoosh Zamanlooy · Mario Diaz · Shahab Asoodeh
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Hall A-E 60 | |
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Robust Score Matching
Poster Session 1
Richard Schwank · Andrew McCormack · Mathias Drton
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Hall A-E 55 | |
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Legitimate ground-truth-free metrics for deep uncertainty classification scoring
Poster Session 1
Arthur Pignet · Chiara Regniez · John Klein
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Hall A-E 177 | |
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Beyond Size-Based Metrics: Measuring Task-Specific Complexity in Symbolic Regression
Poster Session 3
Krzysztof Kacprzyk · Mihaela van der Schaar
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Hall A-E 120 | |
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Conformal Prediction Under Generalized Covariate Shift with Posterior Drift
Poster Session 3
Baozhen Wang · Xingye Qiao
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Hall A-E 75 | |
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Transformers are Provably Optimal In-context Estimators for Wireless Communications
Poster Session 1
Vishnu Teja Kunde · Vicram Rajagopalan · Chandra Shekhara Kaushik Valmeekam · Krishna Narayanan · Jean-Francois Chamberland · Dileep Kalathil · Srinivas Shakkottai
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Hall A-E 163 | |
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Towards Regulatory-Confirmed Adaptive Clinical Trials: Machine Learning Opportunities and Solutions
Poster Session 1
Omer Noy Klein · Alihan Hüyük · Ron Shamir · Uri Shalit · Mihaela van der Schaar
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Hall A-E 144 | |
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Max-Rank: Efficient Multiple Testing for Conformal Prediction
Poster Session 2
Alexander Timans · Christoph-Nikolas Straehle · Kaspar Sakmann · Christian Andersson Naesseth · Eric Nalisnick
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Hall A-E 13 | |
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Stochastic Compositional Minimax Optimization with Provable Convergence Guarantees
Poster Session 2
yuyang deng · Fuli Qiao · Mehrdad Mahdavi
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Hall A-E 9 | |
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Revisiting LocalSGD and SCAFFOLD: Improved Rates and Missing Analysis
Poster Session 2
Ruichen Luo · Sebastian Stich · Samuel Horvath · Martin Takac
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Hall A-E 59 | |
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Statistical Guarantees for Lifelong Reinforcement Learning using PAC-Bayes Theory
Poster Session 1
Zhi Zhang · Chris Chow · Yasi Zhang · Yanchao Sun · Haochen Zhang · Eric Jiang · Han Liu · Furong Huang · Yuchen Cui · Oscar Madrid
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Hall A-E 188 | |
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Cross-modality Matching and Prediction of Perturbation Responses with Labeled Gromov-Wasserstein Optimal Transport
Poster Session 1
Jayoung Ryu · Charlotte Bunne · Luca Pinello · Aviv Regev · Romain Lopez
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Hall A-E 186 | |
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Bayesian Circular Regression with von Mises Quasi-Processes
Poster Session 2
Yarden Cohen · Alexandre Wu Navarro · Jes Frellsen · Richard Turner · Raziel Riemer · Ari Pakman
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Hall A-E 15 | |
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On Subjective Uncertainty Quantification and Calibration in Natural Language Generation
Poster Session 1
Ziyu Wang · Chris Holmes
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Hall A-E 203 | |
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Statistical Guarantees for Unpaired Image-to-Image Cross-Domain Analysis using GANs
Poster Session 3
Saptarshi Chakraborty · Peter Bartlett
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Hall A-E 163 | |
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LITE: Efficiently Estimating Gaussian Probability of Maximality
Poster Session 2
Nicolas Menet · Jonas Hübotter · Parnian Kassraie · Andreas Krause
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Hall A-E 130 | |
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The Sample Complexity of Stackelberg Games
Poster Session 2
Francesco Bacchiocchi · Matteo Bollini · Matteo Castiglioni · Alberto Marchesi · Nicola Gatti
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Hall A-E 88 | |
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On the Relationship Between Robustness and Expressivity of Graph Neural Networks
Poster Session 2
Lorenz Kummer · Wilfried Gansterer · Nils Kriege
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Hall A-E 140 | |
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Fundamental Limits of Perfect Concept Erasure
Poster Session 1
Somnath Basu Roy Chowdhury · Kumar Avinava Dubey · Ahmad Beirami · Rahul Kidambi · Nicholas Monath · Amr Ahmed · Snigdha Chaturvedi
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Hall A-E 132 | |
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Almost linear time differentially private release of synthetic graphs
Poster Session 1
Zongrui Zou · Jingcheng Liu · Jalaj Upadhyay
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Hall A-E 10 | |
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Active Feature Acquisition for Personalised Treatment Assignment
Poster Session 3
Julianna Piskorz · Nicolás Astorga · Jeroen Berrevoets · Mihaela van der Schaar
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Hall A-E 159 | |
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Balls-and-Bins Sampling for DP-SGD
Poster Session 1
Lynn Chua · Badih Ghazi · Charlie Harrison · Pritish Kamath · Ravi Kumar · Ethan Leeman · Pasin Manurangsi · Amer Sinha · Chiyuan Zhang
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Hall A-E 9 | |
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Stein Boltzmann Sampling: A Variational Approach for Global Optimization
Poster Session 2
Gaëtan Serré · Argyris Kalogeratos · Nicolas Vayatis
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Hall A-E 143 | |
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Multimodal Learning with Uncertainty Quantification based on Discounted Belief Fusion
Poster Session 2
Grigor Bezirganyan · Sana Sellami · Laure Berti-Equille · Sébastien Fournier
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Hall A-E 119 | |
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Tamed Langevin sampling under weaker conditions
Poster Session 2
Iosif Lytras · Panayotis Mertikopoulos
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Hall A-E 32 | |
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On the Computational Tractability of the (Many) Shapley Values
Poster Session 1
Reda Marzouk · Shahaf Bassan · Guy Katz · De la Higuera
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Hall A-E 190 | |
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Cross Validation for Correlated Data in Classification Models
Poster Session 2
Oren Yuval · Saharon Rosset
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Hall A-E 190 | |
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Deep Clustering via Probabilistic Ratio-Cut Optimization
Poster Session 1
Ayoub Ghriss · Claire Monteleoni
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Hall A-E 158 | |
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Consistent Amortized Clustering via Generative Flow Networks
Poster Session 2
Irit Chelly · Roy Uziel · Oren Freifeld · Ari Pakman
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Hall A-E 111 | |
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Calm Composite Losses: Being Improper Yet Proper Composite
Poster Session 2
Han Bao · Nontawat Charoenphakdee
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Hall A-E 186 | |
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Differentially Private Continual Release of Histograms and Related Queries
Poster Session 1
Monika Henzinger · A. R. Sricharan · Teresa Steiner
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Hall A-E 50 | |
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Efficient Trajectory Inference in Wasserstein Space Using Consecutive Averaging
Poster Session 3
Amartya Banerjee · Lee · Nir Sharon · Caroline Moosmüller
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Hall A-E 184 | |
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Partial Information Decomposition for Data Interpretability and Feature Selection
Poster Session 2
Charles Westphal · Stephen Hailes · Mirco Musolesi
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Hall A-E 151 | |
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Sketch-and-Project Meets Newton Method: Global O(1/k^2) Convergence with Low-Rank Updates
Poster Session 1
Slavomir Hanzely
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Hall A-E 135 | |
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Distribution-Aware Mean Estimation under User-level Local Differential Privacy
Poster Session 1
Corentin Pla · Maxime Vono · Hugo Richard
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Hall A-E 107 | |
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QuACK: A Multipurpose Queuing Algorithm for Cooperative $k$-Armed Bandits
Poster Session 1
Benjamin Howson · Sarah Filippi · Ciara Pike-Burke
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Hall A-E 64 | |
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Cost-Aware Optimal Pairwise Pure Exploration
Poster Session 3
Di Wu · Chengshuai Shi · Ruida Zhou · Cong Shen
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Hall A-E 83 | |
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Variational Combinatorial Sequential Monte Carlo for Bayesian Phylogenetics in Hyperbolic Space
Poster Session 3
Alex Chen · Philippe Chlenski · Kenneth Munyuza · Antonio Moretti · Christian Andersson Naesseth · Itsik Pe'er
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Hall A-E 96 | |
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Tight Analysis of Difference-of-Convex Algorithm (DCA) Improves Convergence Rates for Proximal Gradient Descent
Poster Session 2
Teodor Rotaru · Panagiotis Patrinos · François Glineur
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Hall A-E 86 | |
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Superiority of Multi-Head Attention: A Theoretical Study in Shallow Transformers in In-Context Linear Regression
Poster Session 3
Yingqian Cui · Jie Ren · Pengfei He · Hui Liu · Jiliang Tang · Yue Xing
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Hall A-E 119 | |
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SNAP: Sequential Non-Ancestor Pruning for Targeted Causal Effect Estimation With an Unknown Graph
Poster Session 2
Mátyás Schubert · Tom Claassen · Sara Magliacane
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Hall A-E 10 | |
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LMEraser: Large Model Unlearning via Adaptive Prompt Tuning
Poster Session 1
Jie Xu · Zihan Wu · Cong Wang · Xiaohua Jia
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Hall A-E 149 | |
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Clustering Context in Off-Policy Evaluation
Poster Session 2
Daniel Guzmán Olivares · Philipp Schmidt · Jacek Golebiowski · Artur Bekasov
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Hall A-E 76 | |
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Learning Infinite-Horizon Average-Reward Linear Mixture MDPs of Bounded Span
Poster Session 1
Woojin Chae · Kihyuk (Ki) Hong · Yufan Zhang · Ambuj Tewari · Dabeen Lee
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Hall A-E 182 | |
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Kernel Single Proxy Control for Deterministic Confounding
Poster Session 2
Liyuan Xu · Arthur Gretton
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Hall A-E 117 | |
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Data Reconstruction Attacks and Defenses: A Systematic Evaluation
Poster Session 2
Sheng Liu · Zihan Wang · Yuxiao Chen · Qi Lei
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Hall A-E 141 | |
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Cost-aware simulation-based inference
Poster Session 2
Ayush Bharti · Daolang Huang · Samuel Kaski · Francois-Xavier Briol
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Hall A-E 205 | |
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Algorithmic Accountability in Small Data: Sample-Size-Induced Bias Within Classification Metrics
Poster Session 3
Jarren Briscoe · Garrett Kepler · Daryl DeFord · Assefaw Gebremedhin
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Hall A-E 30 | |
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Signal Recovery from Random Dot-Product Graphs under Local Differential Privacy
Poster Session 1
Siddharth Vishwanath · Jonathan Hehir
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Hall A-E 56 | |
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Feasible Learning
Poster Session 1
Juan Ramirez · Ignacio Hounie · Juan Elenter · Jose Gallego-Posada · Meraj Hashemizadeh · Alejandro Ribeiro · Simon Lacoste-Julien
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Hall A-E 7 | |
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Score matching for bridges without learning time-reversals
Poster Session 2
Elizabeth Baker · Moritz Schauer · Stefan Sommer
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Hall A-E 53 | |
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Sequential Kernelized Stein Discrepancy
Poster Session 3
Diego Martinez-Taboada · Aaditya Ramdas
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Hall A-E 173 | |
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Estimation of Large Zipfian Distributions with Sort and Snap
Poster Session 1
Peter Jacobs · Anirban Bhattacharya · Debdeep Pati · Lekha Patel · Jeff Phillips
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Hall A-E 19 | |
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Every Call is Precious: Global Optimization of Black-Box Functions with Unknown Lipschitz Constants
Poster Session 2
Fares Fourati · Salma Kharrat · Vaneet Aggarwal · Mohamed-Slim Alouini
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Hall A-E 89 | |
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Diffusion Models under Group Transformations
Poster Session 3
Haoye Lu · Spencer Szabados · Yaoliang Yu
|
Hall A-E 101 | |
|
DPFL: Decentralized Personalized Federated Learning
Poster Session 1
Salma Kharrat · Marco Canini · Samuel Horvath
|
Hall A-E 136 | |
|
Function-Space MCMC for Bayesian Wide Neural Networks
Poster Session 1
Lucia Pezzetti · Stefano Favaro · Stefano Peluchetti
|
Hall A-E 92 | |
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On the Sample Complexity of Next-Token Prediction
Poster Session 1
Oğuz Kaan Yüksel · Nicolas Flammarion
|
Hall A-E 200 | |
|
Time-series attribution maps with regularized contrastive learning
Poster Session 1
Steffen Schneider · Rodrigo González Laiz · Anastasiia Filippova · Markus Frey · Mackenzie Mathis
|
Hall A-E 127 | |
|
ADEPT: Hierarchical Bayes Approach to Personalized Federated Unsupervised Learning
Poster Session 2
Kaan Ozkara · Bruce Huang · Ruida Zhou · Suhas Diggavi
|
Hall A-E 188 | |
|
Refined Analysis of Constant Step Size Federated Averaging and Federated Richardson-Romberg Extrapolation
Poster Session 2
Paul Mangold · Alain Durmus · Aymeric Dieuleveut · Sergey Samsonov · Eric Moulines
|
Hall A-E 122 | |
|
SINE: Scalable MPE Inference for Probabilistic Graphical Models using Advanced Neural Embeddings
Poster Session 2
Shivvrat Arya · Tahrima Rahman · Vibhav Gogate
|
Hall A-E 29 | |
|
Robust Multi-fidelity Bayesian Optimization with Deep Kernel and Partition
Poster Session 3
Fengxue Zhang · Thomas Desautels · Yuxin Chen
|
Hall A-E 195 | |
|
Quantifying the Optimization and Generalization Advantages of Graph Neural Networks Over Multilayer Perceptrons
Poster Session 1
Wei Huang · Yuan Cao · Haonan Wang · Xin Cao · Taiji Suzuki
|
Hall A-E 37 | |
|
High-probability Convergence Bounds for Online Nonlinear Stochastic Gradient Descent under Heavy-tailed Noise
Poster Session 3
Aleksandar Armacki · Shuhua Yu · Pranay Sharma · Gauri Joshi · Dragana Bajovic · Dusan Jakovetic · Soummya Kar
|
Hall A-E 148 | |
|
Changepoint Estimation in Sparse Dynamic Stochastic Block Models under Near-Optimal Signal Strength
Poster Session 1
Shirshendu Chatterjee · Soumendu Sundar Mukherjee · Tamojit Sadhukhan
|
Hall A-E 156 | |
|
Strategic Conformal Prediction
Poster Session 3
Daniel Csillag · Claudio Struchiner · Guilherme Goedert
|
Hall A-E 78 | |
|
A Theoretical Understanding of Chain-of-Thought: Coherent Reasoning and Error-Aware Demonstration
Poster Session 1
Yingqian Cui · Pengfei He · Xianfeng Tang · Qi He · Chen Luo · Jiliang Tang · Yue Xing
|
Hall A-E 89 | |
|
Paths and Ambient Spaces in Neural Loss Landscapes
Poster Session 3
Daniel Dold · Julius Kobialka · Nicolai Palm · Emanuel Sommer · David Rügamer · Oliver Dürr
|
Hall A-E 125 | |
|
Some Targets Are Harder to Identify than Others: Quantifying the Target-dependent Membership Leakage
Poster Session 2
Achraf Azize · Debabrota Basu
|
Hall A-E 1 | |
|
Integer Programming Based Methods and Heuristics for Causal Graph Learning
Poster Session 2
Sanjeeb Dash · Joao Goncalves · Tian Gao
|
Hall A-E 8 | |
|
TempTest: Local Normalization Distortion and the Detection of Machine-generated Text
Poster Session 1
Tom Kempton · Stuart Burrell · Connor Cheverall
|
Hall A-E 178 | |
|
Improving Pre-trained Self-Supervised Embeddings Through Effective Entropy Maximization
Poster Session 2
Deep Chakraborty · Yann LeCun · Tim G. J. Rudner · Erik Learned-Miller
|
Hall A-E 25 | |
|
UNHaP: Unmixing Noise from Hawkes Processes
Poster Session 2
Virginie Loison · Guillaume Staerman · Thomas Moreau
|
Hall A-E 41 | |
|
Prediction-Centric Uncertainty Quantification via MMD
Poster Session 3
Zheyang Shen · Jeremias Knoblauch · Sam Power · Chris Oates
|
Hall A-E 194 | |
|
HAVER: Instance-Dependent Error Bounds for Maximum Mean Estimation and Applications to Q-Learning and Monte Carlo Tree Search
Poster Session 2
Tuan Nguyen · Jay Barrett · Kwang-Sung Jun
|
Hall A-E 85 | |
|
$\mathcal{I}$-trustworthy Models. A framework for trustworthiness evaluation of probabilistic classifiers
Poster Session 2
Ritwik Vashistha · Arya Farahi
|
Hall A-E 184 | |
|
When the Universe is Too Big: Bounding Consideration Probabilities for Plackett-Luce Rankings
Poster Session 2
Ben Aoki-Sherwood · Catherine Bregou · David Liben-Nowell · Kiran Tomlinson · Thomas Zeng
|
Hall A-E 158 | |
|
Stochastic Rounding for LLM Training: Theory and Practice
Poster Session 1
Kaan Ozkara · Tao Yu · Youngsuk Park
|
Hall A-E 133 | |
|
Inverse Optimization with Prediction Market: A Characterization of Scoring Rules for Elciting System States
Poster Session 3
Han Bao · Shinsaku Sakaue
|
Hall A-E 178 | |
|
A Theoretical Framework for Preventing Class Collapse in Supervised Contrastive Learning
Poster Session 3
Chungpa Lee · Jeongheon Oh · Kibok Lee · Jy-yong Sohn
|
Hall A-E 61 | |
|
Accelerated Methods for Riemannian Min-Max Optimization Ensuring Bounded Geometric Penalties
Poster Session 3
David Martínez-Rubio · Christophe Roux · Christopher Criscitiello · Sebastian Pokutta
|
Hall A-E 76 | |
|
Causal Representation Learning from General Environments under Nonparametric Mixing
Poster Session 1
Ignavier Ng · Shaoan Xie · Xinshuai Dong · Peter Spirtes · Kun Zhang
|
Hall A-E 184 | |
|
Safe exploration in reproducing kernel Hilbert spaces
Poster Session 3
Abdullah Tokmak · Kiran Krishnan · Thomas Schön · Dominik Baumann
|
Hall A-E 109 | |
|
Differentially Private Graph Data Release: Inefficiencies & Unfairness
Poster Session 2
Ferdinando Fioretto · Diptangshu Sen · Juba Ziani
|
Hall A-E 198 | |
|
Personalizing Low-Rank Bayesian Neural Networks Via Federated Learning
Poster Session 2
Boning Zhang · Dongzhu Liu · Osvaldo Simeone · Guanchu Wang · Dimitrios Pezaros · Guangxu Zhu
|
Hall A-E 99 | |
|
Invertible Fourier Neural Operators for Tackling Both Forward and Inverse Problems
Poster Session 3
Da Long · Zhitong Xu · Qiwei Yuan · Yin Yang · Shandian Zhe
|
Hall A-E 69 | |
|
Ordered $\mathcal{V}$-information Growth: A Fresh Perspective on Shared Information
Poster Session 2
Rohan Ghosh · Mehul Motani
|
Hall A-E 182 | |
|
Counting Graphlets of Size k under Local Differential Privacy
Poster Session 1
Vorapong Suppakitpaisarn · Donlapark Ponnoprat · Nicha Hirankarn · Quentin Hillebrand
|
Hall A-E 170 | |
|
MING: A Functional Approach to Learning Molecular Generative Models
Poster Session 2
Van Khoa NGUYEN · Maciej Falkiewicz · Giangiacomo Mercatali · Alexandros Kalousis
|
Hall A-E 167 | |
|
Steinmetz Neural Networks for Complex-Valued Data
Poster Session 1
Shyam Venkatasubramanian · Ali Pezeshki · Vahid Tarokh
|
Hall A-E 122 | |
|
Knowledge Graph Completion with Mixed Geometry Tensor Factorization
Poster Session 1
Viacheslav Yusupov · Maxim Rakhuba · Evgeny Frolov
|
Hall A-E 85 | |
|
Variational Schr\"odinger Momentum Diffusion
Poster Session 2
Kevin Rojas · Yixin Tan · Molei Tao · Yuriy Nevmyvaka · Wei Deng
|
Hall A-E 162 | |
|
Deep Generative Quantile Bayes
Poster Session 1
Jungeum Kim · Percy Zhai · Veronika Rockova
|
Hall A-E 114 | |
|
A Convex Relaxation Approach to Generalization Analysis for Parallel Positively Homogeneous Networks
Poster Session 1
Uday Kiran Reddy Tadipatri · Ben Haeffele · Joshua Agterberg · Rene Vidal
|
Hall A-E 199 | |
|
Change Point Detection in Hadamard Spaces by Alternating Minimization
Poster Session 3
Anica Kostic · Vincent Runge · Charles Truong
|
Hall A-E 79 | |
|
The Strong Product Model for Network Inference without Independence Assumptions
Poster Session 2
Bailey Andrew · David Westhead · Luisa Cutillo
|
Hall A-E 48 | |
|
An Empirical Bernstein Inequality for Dependent Data in Hilbert Spaces and Applications
Poster Session 1
Erfan Mirzaei · Andreas Maurer · Vladimir Kostic · Massimiliano Pontil
|
Hall A-E 125 | |
|
RTD-Lite: Scalable Topological Analysis for Comparing Weighted Graphs in Learning Tasks
Poster Session 2
Eduard Tulchinskii · Daria Voronkova · Ilya Trofimov · Evgeny Burnaev · Serguei Barannikov
|
Hall A-E 81 | |
|
Wasserstein Distributionally Robust Bayesian Optimization with Continuous Context
Poster Session 3
Francesco Micheli · Efe Balta · Anastasios Tsiamis · John Lygeros
|
Hall A-E 126 | |
|
Online-to-PAC generalization bounds under graph-mixing dependencies
Poster Session 1
Baptiste Abélès · Gergely Neu · Eugenio Clerico
|
Hall A-E 80 | |
|
Rate of Model Collapse in Recursive Training
Poster Session 2
Ananda Theertha Suresh · Andrew Thangaraj · Aditya Khandavally
|
Hall A-E 95 | |
|
Unbiased Quantization of the $L_1$ Ball for Communication-Efficient Distributed Mean Estimation
Poster Session 1
Nithish Suresh Babu · Ritesh Kumar · Shashank Vatedka
|
Hall A-E 42 | |
|
On the Convergence of Continual Federated Learning Using Incrementally Aggregated Gradients
Poster Session 2
Satish Keshri · Nazreen Shah · Ranjitha Prasad
|
Hall A-E 24 | |
|
Order-Optimal Regret in Distributed Kernel Bandits
Poster Session 1
Nikola Pavlovic · Sudeep Salgia · Qing Zhao
|
Hall A-E 63 | |
|
On the Inherent Privacy of Zeroth-Order Projected Gradient Descent
Poster Session 2
Devansh Gupta · Meisam Razaviyayn · Vatsal Sharan
|
Hall A-E 28 | |
|
Sample Compression Unleashed: New Generalization Bounds for Real Valued Losses
Poster Session 1
Mathieu Bazinet · Valentina Zantedeschi · Pascal Germain
|
Hall A-E 152 | |
|
Weighted Euclidean Distance Matrices over Mixed Continuous and Categorical Inputs for Gaussian Process Models
Poster Session 3
Mingyu Pu · Songhao Wang · Haowei Wang · Szu Hui Ng
|
Hall A-E 52 | |
|
Fundamental computational limits of weak learnability in high-dimensional multi-index models
Poster Session 2
Emanuele Troiani · Yatin Dandi · Leonardo Defilippis · Lenka Zdeborova · Bruno Loureiro · FLORENT KRZAKALA
|
Hall A-E 170 | |
|
Improving Stochastic Cubic Newton with Momentum
Poster Session 2
El Mahdi Chayti · Nikita Doikov · Martin Jaggi
|
Hall A-E 98 | |
|
The Polynomial Iteration Complexity for Variance Exploding Diffusion Models: Elucidating SDE and ODE Samplers
Poster Session 1
Ruofeng Yang · Bo Jiang · Shuai Li
|
Hall A-E 90 | |
|
Bandit Pareto Set Identification in a Multi-Output Linear Model
Poster Session 2
Cyrille Kone · Emilie Kaufmann · Laura Richert
|
Hall A-E 3 | |
|
Learning the Pareto Front Using Bootstrapped Observation Samples
Poster Session 1
Wonyoung Kim · Garud Iyengar · Assaf Zeevi
|
Hall A-E 5 | |
|
Federated Communication-Efficient Multi-Objective Optimization
Poster Session 1
Baris Askin · Pranay Sharma · Gauri Joshi · Carlee Joe-Wong
|
Hall A-E 157 | |
|
Online Assortment and Price Optimization Under Contextual Choice Models
Poster Session 1
Yigit Efe Erginbas · Thomas Courtade · Ramchandran Kannan
|
Hall A-E 69 | |
|
Recurrent Neural Goodness-of-Fit Test for Time Series
Poster Session 1
Aoran Zhang · Wenbin Zhou · Liyan Xie · Shixiang Zhu
|
Hall A-E 159 | |
|
Towards Fair Graph Learning without Demographic Information
Poster Session 1
Zichong Wang · Nhat Hoang · Xingyu Zhang · Kevin Bello · Xiangliang Zhang · Sitharama Iyengar · Wenbin Zhang
|
Hall A-E 189 | |
|
Parameter estimation in state space models using particle importance sampling
Poster Session 2
Yuxiong Gao · Wentao Li · Rong Chen
|
Hall A-E 157 | |
|
Your Finetuned Large Language Model is Already a Powerful Out-of-distribution Detector
Poster Session 1
Andi Zhang · Tim Xiao · Weiyang Liu · Robert Bamler · Damon Wischik
|
Hall A-E 96 | |
|
High Dimensional Bayesian Optimization using Lasso Variable Selection
Poster Session 3
Vu Hoang · Hung Tran · Sunil Gupta · Vu Nguyen
|
Hall A-E 71 | |
|
Approximate information maximization for bandit games
Poster Session 2
Alex Chebbah · Christian L. Vestergaard · jean-baptiste masson · Etienne Boursier
|
Hall A-E 148 | |
|
Narrowing the Gap between Adversarial and Stochastic MDPs via Policy Optimization
Poster Session 1
Daniil Tiapkin · Evgenii Chzhen · Gilles Stoltz
|
Hall A-E 39 | |
|
Q-learning for Quantile MDPs: A Decomposition, Performance, and Convergence Analysis
Poster Session 2
Jia Lin Hau · Erick Delage · Esther Derman · Mohammad Ghavamzadeh · Marek Petrik
|
Hall A-E 112 | |
|
Bridging Domains with Approximately Shared Features
Poster Session 1
Ziliang Zhong · Xiang Pan · Qi Lei
|
Hall A-E 20 | |
|
Cross-Modal Imputation and Uncertainty Estimation for Spatial Transcriptomics
Poster Session 1
Xiangyu Guo · Ricardo Henao
|
Hall A-E 31 | |
|
Infinite-dimensional Diffusion Bridge Simulation via Operator Learning
Poster Session 1
Gefan Yang · Elizabeth Baker · Michael Severinsen · Christy Hipsley · Stefan Sommer
|
Hall A-E 102 | |
|
Distributional Counterfactual Explanations With Optimal Transport
Poster Session 1
Lei You · Lele Cao · Mattias Nilsson · Bo Zhao · Lei Lei
|
Hall A-E 13 | |
|
Collaborative non-parametric two-sample testing
Poster Session 3
Alejandro de la Concha · Nicolas Vayatis · Argyris Kalogeratos
|
Hall A-E 170 | |
|
A Unified Evaluation Framework for Epistemic Predictions
Poster Session 2
Shireen Kudukkil Manchingal · Muhammad Mubashar · Kaizheng Wang · Fabio Cuzzolin
|
Hall A-E 154 | |
|
Information Transfer Across Clinical Tasks via Adaptive Parameter Optimisation
Poster Session 3
Anshul Thakur · Elena Gal · Soheila Molaei · Xiao Gu · Patrick Schwab · Danielle Belgrave · Kim Branson · David Clifton
|
Hall A-E 8 | |
|
Incremental Uncertainty-aware Performance Monitoring with Active Labeling Intervention
Poster Session 1
Alexander Koebler · Thomas Decker · Ingo Thon · Volker Tresp · Florian Buettner
|
Hall A-E 141 | |
|
Vecchia Gaussian Process Ensembles on Internal Representations of Deep Neural Networks
Poster Session 2
Felix Jimenez · Matthias Katzfuss
|
Hall A-E 30 | |
|
Reinforcement Learning with Intrinsically Motivated Feedback Graph for Lost-sales Inventory Control
Poster Session 1
Zifan LIU · Xinran Li · Shibo Chen · Gen Li · Jiashuo Jiang · Jun Zhang
|
Hall A-E 168 | |
|
Estimating the Spectral Moments of the Kernel Integral Operator from Finite Sample Matrices
Poster Session 2
Chanwoo Chun · SueYeon Chung · Daniel Lee
|
Hall A-E 204 | |
|
Gaussian Mean Testing under Truncation
Poster Session 1
Clement Canonne · Themistoklis Gouleakis · Yuhao Wang · Qiping Yang
|
Hall A-E 21 | |
|
Locally Optimal Descent for Dynamic Stepsize Scheduling
Poster Session 2
Gilad Yehudai · Alon Cohen · Amit Daniely · Yoel Drori · Tomer Koren · Mariano Schain
|
Hall A-E 17 | |
|
Bayes without Underfitting: Fully Correlated Deep Learning Posteriors via Alternating Projections
Poster Session 1
Marco Miani · Hrittik Roy · Soren Hauberg
|
Hall A-E 154 | |
|
Unifying Feature-Based Explanations with Functional ANOVA and Cooperative Game Theory
Poster Session 1
Fabian Fumagalli · Maximilian Muschalik · Eyke Hüllermeier · Barbara Hammer · Julia Herbinger
|
Hall A-E 180 | |
|
Memorization in Attention-only Transformers
Poster Session 1
Léo Dana · Muni Sreenivas Pydi · Yann Chevaleyre
|
Hall A-E 151 | |
|
Black-Box Uniform Stability for Non-Euclidean Empirical Risk Minimization
Poster Session 1
Simon Vary · David Martínez-Rubio · Patrick Rebeschini
|
Hall A-E 32 | |
|
Constrained Multi-objective Bayesian Optimization through Optimistic Constraints Estimation
Poster Session 3
Diantong Li · Fengxue Zhang · Chong Liu · Yuxin Chen
|
Hall A-E 51 | |
|
Computing high-dimensional optimal transport by flow neural networks
Poster Session 2
Chen Xu · Xiuyuan Cheng · Yao Xie
|
Hall A-E 166 | |
|
Meta-learning Task-specific Regularization Weights for Few-shot Linear Regression
Poster Session 2
Tomoharu Iwata · Atsutoshi Kumagai · Yasutoshi Ida
|
Hall A-E 129 | |
|
Multi-level Advantage Credit Assignment for Cooperative Multi-Agent Reinforcement Learning
Poster Session 1
Xutong Zhao · Yaqi Xie
|
Hall A-E 73 | |
|
Asynchronous Decentralized Optimization with Constraints: Achievable Speeds of Convergence for Directed Graphs
Poster Session 2
firooz shahriari-mehr · Ashkan Panahi
|
Hall A-E 144 | |
|
FLIPHAT: Joint Differential Privacy for High Dimensional Linear Bandits
Poster Session 1
Saptarshi Roy · Sunrit Chakraborty · Debabrota Basu
|
Hall A-E 175 | |
|
Nonparametric Factor Analysis and Beyond
Poster Session 1
Yujia Zheng · Yang Liu · Jiaxiong Yao · Yingyao Hu · Kun Zhang
|
Hall A-E 67 | |
|
Evidential Uncertainty Probes for Graph Neural Networks
Poster Session 3
Linlin Yu · Kangshuo Li · Pritom Saha · Yifei Lou · Feng Chen
|
Hall A-E 31 | |
|
Structure based SAT dataset for analysing GNN generalisation
Poster Session 2
Yi Fu · Anthony Tompkins · Yang Song · Maurice Pagnucco
|
Hall A-E 137 | |
|
Optimal Multi-Objective Best Arm Identification with Fixed Confidence
Poster Session 3
Zhirui Chen · P. N. Karthik · Yeow Meng Chee · Vincent Tan
|
Hall A-E 97 | |
|
Class Imbalance in Anomaly Detection: Learning from an Exactly Solvable Model
Poster Session 1
Francesco Pezzicoli · Valentina Ros · Francois Landes · Marco Baity-Jesi
|
Hall A-E 169 | |
|
Nyström Kernel Stein Discrepancy
Poster Session 3
Florian Kalinke · Zoltan Szabo · Bharath Sriperumbudur
|
Hall A-E 153 | |
|
Hierarchical Bias-Driven Stratification for Interpretable Causal Effect Estimation
Poster Session 1
Lucile Ter-Minassian · Liran Szlak · Ehud Karavani · Chris Holmes · Yishai Shimoni
|
Hall A-E 116 | |
|
AxlePro: Momentum-Accelerated Batched Training of Kernel Machines
Poster Session 2
Yiming Zhang · Parthe Pandit
|
Hall A-E 60 | |
|
Learning Stochastic Nonlinear Dynamics with Embedded Latent Transfer Operators
Poster Session 1
NAICHANG KE · Ryogo Tanaka · Yoshinobu Kawahara
|
Hall A-E 76 | |
|
Decoupling epistemic and aleatoric uncertainties with possibility theory
Poster Session 2
Nong Hieu · Jeremie Houssineau · Neil Chada · Emmanuel Delande
|
Hall A-E 163 | |
|
Adversarial Vulnerabilities in Large Language Models for Time Series Forecasting
Poster Session 3
Fuqiang Liu · Sicong Jiang · Luis Miranda-Moreno · Seongjin Choi · Lijun Sun
|
Hall A-E 27 | |
|
Density-Dependent Group Testing
Poster Session 3
Rahil Morjaria · Saikiran Bulusu · Venkata Gandikota · Sidharth Jaggi
|
Hall A-E 65 | |
|
Infinite Width Limits of Self Supervised Neural Networks
Poster Session 2
Maximilian Fleissner · Gautham Anil · Debarghya Ghoshdastidar
|
Hall A-E 54 | |
|
Bilevel Reinforcement Learning via the Development of Hyper-gradient without Lower-Level Convexity
Poster Session 3
Yan Yang · Bin Gao · Ya-xiang Yuan
|
Hall A-E 45 | |
|
Learning the Distribution Map in Reverse Causal Performative Prediction
Poster Session 1
Daniele Bracale · Subha Maity · Yuekai Sun · Moulinath Banerjee
|
Hall A-E 171 | |
|
A Random Matrix Theory Perspective on the Spectrum of Learned Features and Asymptotic Generalization Capabilities
Poster Session 1
Yatin Dandi · Luca Pesce · Hugo Cui · FLORENT KRZAKALA · Yue Lu · Bruno Loureiro
|
Hall A-E 3 | |
|
Signed Graph Autoencoder for Explainable and Polarization-Aware Network Embeddings
Poster Session 2
Nikolaos Nakis · Chrysoula Kosma · Giannis Nikolentzos · Michail Chatzianastasis · Iakovos Evdaimon · Michalis Vazirgiannis
|
Hall A-E 174 | |
|
A Differential Inclusion Approach for Learning Heterogeneous Sparsity in Neuroimaging Analysis
Poster Session 2
Wenjing Han · Yueming Wu · Xinwei Sun · Lingjing Hu · Yizhou Wang
|
Hall A-E 33 | |
|
DeCaf: A Causal Decoupling Framework for OOD Generalization on Node Classification
Poster Session 3
Xiaoxue Han · Huzefa Rangwala · Yue Ning
|
Hall A-E 20 | |
|
Theoretical Analysis of Leave-one-out Cross Validation for Non-differentiable Penalties under High-dimensional Settings
Poster Session 2
Haolin Zou · Arnab Auddy · Kamiar Rahnama Rad · Arian Maleki
|
Hall A-E 202 | |
|
ChronosX: Adapting Pretrained Time Series Models with Exogenous Variables
Poster Session 1
Sebastian Pineda Arango · Pedro Mercado · Shubham Kapoor · Abdul Fatir Ansari · Lorenzo Stella · Huibin Shen · Hugo Sénétaire · Caner Turkmen · Oleksandr Shchur · Danielle Maddix · Michael Bohlke-Schneider · Bernie Wang · Syama Sundar Rangapuram
|
Hall A-E 143 | |
|
Reinforcement Learning for Infinite-Horizon Average-Reward Linear MDPs via Approximation by Discounted-Reward MDPs
Poster Session 3
Kihyuk (Ki) Hong · Woojin Chae · Yufan Zhang · Dabeen Lee · Ambuj Tewari
|
Hall A-E 193 | |
|
ROTI-GCV: Generalized Cross-Validation for right-ROTationally Invariant Data
Poster Session 3
Kevin Luo · Yufan Li · Pragya Sur
|
Hall A-E 73 | |
|
Differentially private algorithms for linear queries via stochastic convex optimization
Poster Session 1
Giorgio Micali · Clement Lezane · Annika Betken
|
Hall A-E 101 | |
|
Zero-Shot Action Generalization with Limited Observations
Poster Session 2
Abdullah Alchihabi · Hanping Zhang · Yuhong Guo
|
Hall A-E 20 | |
|
Conditional Prediction ROC Bands for Graph Classification
Poster Session 1
Yujia Wu · Bo Yang · Elynn Chen · Yuzhou Chen · Zheshi Zheng
|
Hall A-E 35 | |
|
A High Dimensional Statistical Model for Adversarial Training: Geometry and Trade-Offs
Poster Session 1
Kasimir Tanner · Matteo Vilucchio · Bruno Loureiro · FLORENT KRZAKALA
|
Hall A-E 111 | |
|
M$^2$AD: Multi-Sensor Multi-System Anomaly Detection through Global Scoring and Calibrated Thresholding
Poster Session 3
Sarah Alnegheimish · Zelin He · Matthew Reimherr · Akash Chandrayan · Abhinav Pradhan · Luca D'Angelo
|
Hall A-E 62 | |
|
Approximate Global Convergence of Independent Learning in Multi-Agent Systems
Poster Session 2
Ruiyang Jin · Zaiwei Chen · Yiheng Lin · Jie Song · Adam Wierman
|
Hall A-E 153 | |
|
Understanding Inverse Reinforcement Learning under Overparameterization: Non-Asymptotic Analysis and Global Optimality
Poster Session 3
Ruijia Zhang · Siliang Zeng · Chenliang Li · Alfredo Garcia · Mingyi Hong
|
Hall A-E 157 | |
|
Multi-Agent Credit Assignment with Pretrained Language Models
Poster Session 2
Wenhao Li · Dan Qiao · Baoxiang Wang · Xiangfeng Wang · Wei Yin · Hao Shen · Bo Jin · Hongyuan Zha
|
Hall A-E 18 | |
|
Harnessing Causality in Reinforcement Learning with Bagged Decision Times
Poster Session 1
Daiqi Gao · Hsin-Yu Lai · Predrag Klasnja · Susan Murphy
|
Hall A-E 201 | |
|
Consistent Validation for Predictive Methods in Spatial Settings
Poster Session 3
David Burt · Yunyi Shen · Tamara Broderick
|
Hall A-E 33 | |
|
Fairness Risks for Group-Conditionally Missing Demographics
Poster Session 2
Kaiqi Jiang · Wenzhe Fan · Mao Li · Xinhua Zhang
|
Hall A-E 44 | |
|
Scalable spectral representations for multiagent reinforcement learning in network MDPs
Poster Session 1
Zhaolin Ren · Runyu Zhang · Bo Dai · Na Li
|
Hall A-E 153 | |
|
Towards a mathematical theory for consistency training in diffusion models
Poster Session 3
Gen Li · Zhihan Huang · Yuting Wei
|
Hall A-E 98 | |
|
SteinDreamer: Variance Reduction for Text-to-3D Score Distillation via Stein Identity
Poster Session 1
Peihao Wang · Zhiwen Fan · Dejia Xu · Dilin Wang · Sreyas Mohan · Forrest Iandola · Rakesh Ranjan · YILEI LI · qiang liu · Zhangyang Wang · Vikas Chandra
|
Hall A-E 86 | |
|
From Gradient Clipping to Normalization for Heavy Tailed SGD
Poster Session 2
Florian Hübler · Ilyas Fatkhullin · Niao He
|
Hall A-E 165 | |
|
Differentiable Calibration of Inexact Stochastic Simulation Models via Kernel Score Minimization
Poster Session 3
Ziwei Su · Diego Klabjan
|
Hall A-E 41 | |
|
Parabolic Continual Learning
Poster Session 2
Haoming Yang · Ali Hasan · Vahid Tarokh
|
Hall A-E 31 | |
|
Post-processing for Fair Regression via Explainable SVD
Poster Session 3
Zhiqun Zuo · Ding Zhu · Mahed Abroshan
|
Hall A-E 66 | |
|
Decision from Suboptimal Classifiers: Excess Risk Pre- and Post-Calibration
Poster Session 2
Alexandre Perez-Lebel · Gaël Varoquaux · Sanmi Koyejo · Matthieu Doutreligne · Marine Le Morvan
|
Hall A-E 142 | |
|
Graph Machine Learning based Doubly Robust Estimator for Network Causal Effects
Poster Session 3
Seyedeh Baharan Khatami · Harsh Parikh · Haowei Chen · Sudeepa Roy · Babak Salimi
|
Hall A-E 112 | |
|
Quantifying Knowledge Distillation using Partial Information Decomposition
Poster Session 3
Sachindra Pasan Dissanayake · Faisal Hamman · Barproda Halder · Ilia Sucholutsky · Qiuyi Zhang · Sanghamitra Dutta
|
Hall A-E 191 | |
|
Learning Identifiable Structures Helps Avoid Bias in DNN-based Supervised Causal Learning
Poster Session 2
Jiaru Zhang · Rui Ding · Qiang Fu · Huang Bojun · Zizhen Deng · Yang Hua · Haibing Guan · Shi Han · Dongmei Zhang
|
Hall A-E 34 | |
|
A Multi-Task Learning Approach to Linear Multivariate Forecasting
Poster Session 1
Liran Nochumsohn · Hedi Zisling · Omri Azencot
|
Hall A-E 183 | |
|
A kernel Stein test for comparing latent variable models
Poster Session 2
Heishiro Kanagawa
|
Hall A-E 194 | |
|
A Computation-Efficient Method of Measuring Dataset Quality based on the Coverage of the Dataset
Poster Session 3
BEOMJUN KIM · Jaehwan Kim · Kangyeon Kim · Sunwoo Kim · Heejin Ahn
|
Hall A-E 128 | |
|
Scalable Out-of-Distribution Robustness in the Presence of Unobserved Confounders
Poster Session 2
Parjanya Prashant · Seyedeh Baharan Khatami · Bruno Ribeiro · Babak Salimi
|
Hall A-E 138 | |
|
Copula Based Trainable Calibration Error Estimator of Multi-Label Classification with Label Interdependencies
Poster Session 2
Arkapal Panda · Utpal Garain
|
Hall A-E 203 | |
|
TRADE: Transfer of Distributions between External Conditions with Normalizing Flows
Poster Session 2
Stefan Wahl · Armand Rousselot · Felix Draxler · Ullrich Köthe
|
Hall A-E 173 | |
|
Common Learning Constraints Alter Interpretations of Direct Preference Optimization
Poster Session 1
Lemin Kong · Xiangkun Hu · Tong He · David Wipf
|
Hall A-E 110 | |
|
Analyzing Generative Models by Manifold Entropic Metrics
Poster Session 2
Daniel Galperin · Ullrich Köthe
|
Hall A-E 114 | |
|
A Subquadratic Time Approximation Algorithm for Individually Fair k-Center
Poster Session 3
Matthijs Ebbens · Nicole Funk · Jan Höckendorff · Christian Sohler · Vera Weil
|
Hall A-E 179 | |
|
Stochastic Gradient Descent for Bézier Simplex Representation of Pareto Set in Multi-Objective Optimization
Poster Session 3
Yasunari Hikima · Ken Kobayashi · Akinori Tanaka · Akiyoshi Sannai · Naoki Hamada
|
Hall A-E 187 | |
|
StableMDS: A Novel Gradient Descent-Based Method for Stabilizing and Accelerating Weighted Multidimensional Scaling
Poster Session 3
Zhongxi Fang · Xun Su · Tomohisa Tabuchi · Jianming Huang · Hiroyuki Kasai
|
Hall A-E 102 | |
|
Density Ratio Estimation via Sampling along Generalized Geodesics on Statistical Manifolds
Poster Session 3
Masanari Kimura · Howard Bondell
|
Hall A-E 185 | |
|
Distributional Off-policy Evaluation with Bellman Residual Minimization
Poster Session 2
Sungee Hong · Zhengling Qi · Raymond K. W. Wong
|
Hall A-E 109 | |
|
Flexible and Efficient Probabilistic PDE Solvers through Gaussian Markov Random Fields
Poster Session 2
Tim Weiland · Marvin Pförtner · Philipp Hennig
|
Hall A-E 175 | |
|
All models are wrong, some are useful: Model Selection with Limited Labels
Poster Session 2
Patrik Okanovic · Andreas Kirsch · Jannes Kasper · Torsten Hoefler · Andreas Krause · Nezihe Merve Gürel
|
Hall A-E 164 | |
|
New User Event Prediction Through the Lens of Causal Inference
Poster Session 2
Henry Yuchi · Shixiang Zhu · Li Dong · Yigit Arisoy · Matthew Spencer
|
Hall A-E 52 | |
|
Deep Optimal Sensor Placement for Black Box Stochastic Simulations
Poster Session 2
Paula Cordero Encinar · Tobias Schroeder · Peter Yatsyshin · Andrew Duncan
|
Hall A-E 22 | |
|
A Multi-Armed Bandit Approach to Online Selection and Evaluation of Generative Models
Poster Session 3
Xiaoyan Hu · Ho-fung Leung · Farzan Farnia
|
Hall A-E 56 | |
|
Diffusion Models as Constrained Samplers for Optimization with Unknown Constraints
Poster Session 2
Lingkai Kong · Yuanqi Du · Wenhao Mu · Kirill Neklyudov · Valentin De Bortoli · Dongxia Wu · Haorui Wang · Aaron Ferber · Yian Ma · Carla Gomes · Chao Zhang
|
Hall A-E 135 | |
|
Dissecting the Impact of Model Misspecification in Data-Driven Optimization
Poster Session 3
Adam Elmachtoub · Henry Lam · Haixiang Lan · Haofeng Zhang
|
Hall A-E 91 | |
|
Robust Kernel Hypothesis Testing under Data Corruption
Poster Session 3
Antonin Schrab · Ilmun Kim
|
Hall A-E 47 | |
|
Mean-Field Microcanonical Gradient Descent
Poster Session 2
Marcus Häggbom · Morten Karlsmark · Joakim Andén
|
Hall A-E 64 | |
|
Koopman-Equivariant Gaussian Processes
Poster Session 3
Petar Bevanda · Max Beier · Alexandre Capone · Stefan Sosnowski · Sandra Hirche · Armin Lederer
|
Hall A-E 161 | |
|
Prior-Dependent Allocations for Bayesian Fixed-Budget Best-Arm Identification in Structured Bandits
Poster Session 1
Nicolas Nguyen · Imad Aouali · Andras Gyorgy · Claire Vernade
|
Hall A-E 131 | |
|
Faster WIND: Accelerating Iterative Best-of-$N$ Distillation for LLM Alignment
Poster Session 2
Tong Yang · Jincheng Mei · Hanjun Dai · Zixin Wen · Shicong Cen · Dale Schuurmans · Yuejie Chi · Bo Dai
|
Hall A-E 169 | |
|
Application of Structured State Space Models to High energy physics with locality sensitive hashing
Poster Session 1
Cheng Jiang · Sitian Qian
|
Hall A-E 145 | |
|
Neural Point Processes for Pixel-wise Regression
Poster Session 3
Chengzhi Shi · Gözde Özcan · Miquel Sirera Perelló · Yuanyuan Li · Nina I. Shamsi · Stratis Ioannidis
|
Hall A-E 87 | |
|
On the Power of Adaptive Weighted Aggregation in Heterogeneous Federated Learning and Beyond
Poster Session 1
Dun Zeng · Zenglin Xu · SHIYU LIU · Yu Pan · Qifan Wang · Xiaoying Tang
|
Hall A-E 176 | |
|
Riemann$^2$: Learning Riemannian Submanifolds from Riemannian Data
Poster Session 2
Leonel Rozo · Miguel González-Duque · Noémie Jaquier · Soren Hauberg
|
Hall A-E 67 | |
|
Learning from biased positive-unlabeled data via threshold calibration
Poster Session 3
Paweł Teisseyre · Timo Martens · Jessa Bekker · Jesse Davis
|
Hall A-E 6 | |
|
Fully Dynamic Adversarially Robust Correlation Clustering in Polylogarithmic Update Time
Poster Session 2
Vladimir Braverman · Prathamesh Dharangutte · Shreyas Pai · Vihan Shah · Chen Wang
|
Hall A-E 126 | |
|
Differentially Private Range Queries with Correlated Input Perturbation
Poster Session 3
Prathamesh Dharangutte · Jie Gao · Ruobin Gong · Guanyang Wang
|
Hall A-E 39 | |
|
On the Difficulty of Constructing a Robust and Publicly-Detectable Watermark
Poster Session 2
Jaiden Fairoze · Guillermo Ortiz-Jimenez · Mel Vecerik · Somesh Jha · Sven Gowal
|
Hall A-E 131 | |
|
Cubic regularized subspace Newton for non-convex optimization
Poster Session 3
Jim Zhao · Nikita Doikov · Aurelien Lucchi
|
Hall A-E 4 | |
|
Sampling from the Random Linear Model via Stochastic Localization Up to the AMP Threshold
Poster Session 2
Han Cui · Zhiyuan Yu · Jingbo Liu
|
Hall A-E 46 | |
|
Credal Two-Sample Tests of Epistemic Uncertainty
Poster Session 2
Siu Lun Chau · Antonin Schrab · Arthur Gretton · Dino Sejdinovic · Krikamol Muandet
|
Hall A-E 187 | |
|
A Safe Bayesian Learning Algorithm for Constrained MDPs with Bounded Constraint Violation
Poster Session 1
Krishna Kalagarla · Rahul Jain · Pierluigi Nuzzo
|
Hall A-E 61 | |
|
Get rid of your constraints and reparametrize: A study in NNLS and implicit bias
Poster Session 3
Hung-Hsu Chou · Johannes Maly · Claudio Mayrink Verdun · Bernardo da Costa · Heudson Mirandola
|
Hall A-E 35 | |
|
FedBaF: Federated Learning Aggregation Biased by a Foundation Model
Poster Session 2
Jong-Ik Park · Srinivasa Pranav · José Moura · Carlee Joe-Wong
|
Hall A-E 73 | |
|
Decomposing Global Feature Effects Based on Feature Interactions
Poster Session 2
Julia Herbinger
|
Hall A-E 193 | |
|
Federated Causal Inference: Multi-Study ATE Estimation beyond Meta-Analysis
Poster Session 3
Remi Khellaf · Aurélien Bellet · julie Josse
|
Hall A-E 16 | |
|
Geometric Collaborative Filtering with Convergence
Poster Session 3
Hisham Husain · Julien Monteil
|
Hall A-E 166 | |
|
Model selection for behavioral learning data and applications to contextual bandits
Poster Session 2
Julien Aubert · Louis Köhler · Luc Lehéricy · Giulia Mezzadri · Patricia Reynaud-Bouret
|
Hall A-E 6 | |
|
Q-function Decomposition with Intervention Semantics for Factored Action Spaces
Poster Session 3
Junkyu Lee · Tian Gao · Elliot Nelson · Miao Liu · Debarun Bhattacharjya · Songtao Lu
|
Hall A-E 38 | |
|
HR-Bandit: Human-AI Collaborated Linear Recourse Bandit
Poster Session 3
Junyu Cao · Ruijiang Gao · Esmaeil Keyvanshokooh
|
Hall A-E 176 | |
|
An Iterative Algorithm for Rescaled Hyperbolic Functions Regression
Poster Session 2
Yeqi Gao · Zhao Song · Junze Yin
|
Hall A-E 185 | |
|
Computation-Aware Kalman Filtering and Smoothing
Poster Session 1
Marvin Pförtner · Jonathan Wenger · Jon Cockayne · Philipp Hennig
|
Hall A-E 66 | |
|
The Size of Teachers as a Measure of Data Complexity: PAC-Bayes Excess Risk Bounds and Scaling Laws
Poster Session 1
Gintare Karolina Dziugaite · Dan Roy
|
Hall A-E 54 | |
|
Bayesian Decision Theory on Decision Trees: Uncertainty Evaluation and Interpretability
Poster Session 3
Yuta Nakahara · Shota Saito · Naoki Ichijo · Koki Kazama · Toshiyasu Matsushima
|
Hall A-E 131 | |
|
Exposing Privacy Gaps: Membership Inference Attack on Preference Data for LLM Alignment
Poster Session 1
Qizhang Feng · Siva Rajesh Kasa · SANTHOSH KASA · Hyokun Yun · Choon Teo · Sravan Babu Bodapati
|
Hall A-E 30 | |
|
Improved dependence on coherence in eigenvector and eigenvalue estimation error bounds
Poster Session 1
Hao Yan · Keith Levin
|
Hall A-E 193 | |
|
Efficient Optimization Algorithms for Linear Adversarial Training
Poster Session 3
Antonio Ribeiro · Thomas Schön · Dave Zachariah · Francis Bach
|
Hall A-E 82 | |
|
A Generalized Theory of Mixup for Structure-Preserving Synthetic Data
Poster Session 1
Chungpa Lee · Jongho Im · Joseph Kim
|
Hall A-E 34 | |
|
Optimising Clinical Federated Learning through Mode Connectivity-based Model Aggregation
Poster Session 3
Anshul Thakur · Soheila Molaei · Patrick Schwab · Danielle Belgrave · Kim Branson · David Clifton
|
Hall A-E 108 | |
|
Graph-based Complexity for Causal Effect by Empirical Plug-in
Poster Session 2
Rina Dechter · Annie Raichev · Jin Tian · Alexander Ihler
|
Hall A-E 16 | |
|
A Likelihood Based Approach for Watermark Detection
Poster Session 1
Xingchi Li · Guanxun Li · Xianyang Zhang
|
198 | |
|
Learning Graph Node Embeddings by Smooth Pair Sampling
Poster Session 1
Konstantin Kutzkov
|
Hall A-E 4 | |
|
Classification of High-dimensional Time Series in Spectral Domain Using Explainable Features with Applications to Neuroimaging Data
Poster Session 2
Sarbojit Roy · Malik Shahid Sultan · Tania Vallejo · Leena Ibrahim · Hernando Ombao
|
Hall A-E 128 | |
|
Certifiably Quantisation-Robust training and inference of Neural Networks
Poster Session 3
Hue Dang · Matthew Wicker · Goetz Botterweck · Andrea Patane
|
Hall A-E 11 | |
|
Training LLMs with MXFP4
Poster Session 1
Albert Tseng · Tao Yu · Youngsuk Park
|
Hall A-E 126 | |
|
Weighted Sum of Gaussian Process Latent Variable Models
Poster Session 3
James Odgers · Ruby Sedgwick · Chrysoula Kappatou · Ruth Misener · Sarah Filippi
|
Hall A-E 180 | |
|
A Shapley-value Guided Rationale Editor for Rationale Learning
Poster Session 3
Zixin Kuang · Meng-Fen Chiang · Wang-Chien Lee
|
Hall A-E 93 | |
|
Task Shift: From Classification to Regression in Overparameterized Linear Models
Poster Session 3
Tyler LaBonte · Kuo-Wei Lai · Vidya Muthukumar
|
Hall A-E 42 | |
|
Is Prior-Free Black-Box Non-Stationary Reinforcement Learning Feasible?
Poster Session 1
Argyrios Gerogiannis · Yu-Han Huang · Venugopal V. Veeravalli
|
Hall A-E 88 | |
|
All or None: Identifiable Linear Properties of Next-Token Predictors in Language Modeling
Poster Session 1
Emanuele Marconato · Sebastien Lachapelle · Sebastian Weichwald · Luigi Gresele
|
Hall A-E 118 | |
|
Reliable and Scalable Variable Importance Estimation via Warm-start and Early Stopping
Poster Session 3
Zexuan Sun · Garvesh Raskutti
|
Hall A-E 19 | |
|
$q\texttt{POTS}$: Efficient Batch Multiobjective Bayesian Optimization via Pareto Optimal Thompson Sampling
Poster Session 3
Ashwin Renganathan · Kade Carlson
|
Hall A-E 32 | |
|
LC-Tsallis-INF: Generalized Best-of-Both-Worlds Linear Contextual Bandits
Poster Session 3
Masahiro Kato · Shinji Ito
|
Hall A-E 74 | |
|
Unconditionally Calibrated Priors for Beta Mixture Density Networks
Poster Session 2
Alix Lhéritier · Maurizio Filippone
|
Hall A-E 80 | |
|
Convergence Analysis for General Probability Flow ODEs of Diffusion Models in Wasserstein Distances
Poster Session 1
Xuefeng GAO · Lingjiong Zhu
|
Hall A-E 52 | |
|
Spectral Differential Network Analysis for High-Dimensional Time Series
Poster Session 2
Michael Hellstern · Byol Kim · Zaid Harchaoui · Ali Shojaie
|
Hall A-E 178 | |
|
Theory of Agreement-on-the-Line in Linear Models and Gaussian Data
Poster Session 3
Christina Baek · Aditi Raghunathan · Zico Kolter
|
Hall A-E 129 | |
|
Optimizing Neural Network Training and Quantization with Rooted Logistic Objectives
Poster Session 1
Zhu Wang · Praveen Raj Veluswami · Harsh Mishra · Sathya N. Ravi
|
Hall A-E 146 | |
|
Parallel Backpropagation for Inverse of a Convolution with Application to Normalizing Flows
Poster Session 3
Sandeep Nagar · Girish Varma
|
Hall A-E 48 | |
|
Symmetry-Based Structured Matrices for Efficient Approximately Equivariant Networks
Poster Session 1
Ashwin Samudre · Mircea Petrache · Brian Nord · Shubhendu Trivedi
|
Hall A-E 15 | |
|
Adaptive RKHS Fourier Features for Compositional Gaussian Process Models
Poster Session 1
Xinxing Shi · Thomas Baldwin-McDonald · Mauricio Álvarez
|
Hall A-E 181 | |
|
Leveraging Frozen Batch Normalization for Co-Training in Source-Free Domain Adaptation
Poster Session 3
Xianwen Deng · Yijun Wang · Zhi Xue
|
Hall A-E 86 | |
|
Credibility-Aware Multimodal Fusion Using Probabilistic Circuits
Poster Session 2
Sahil Sidheekh · Pranuthi Tenali · Saurabh Mathur · Erik Blasch · Kristian Kersting · Sriraam Natarajan
|
Hall A-E 62 | |
|
Disentangling impact of capacity, objective, batchsize, estimators, and step-size on flow VI
Poster Session 2
Abhinav Agrawal · Justin Domke
|
Hall A-E 42 | |
|
Logarithmic Neyman Regret for Adaptive Estimation of the Average Treatment Effect
Poster Session 3
Ojash Neopane · Aaditya Ramdas · Aarti Singh
|
Hall A-E 169 | |
|
Bypassing the Exponential Dependency: Looped Transformers Efficiently Learn In-context by Multi-step Gradient Descent
Poster Session 1
Bo Chen · Xiaoyu Li · Yingyu Liang · Zhenmei Shi · Zhao Song
|
Hall A-E 24 | |
|
MDP Geometry, Normalization and Reward Balancing Solvers
Poster Session 1
Arsenii Mustafin · Aleksei Pakharev · Alex Olshevsky · Yannis Paschalidis
|
Hall A-E 191 | |
|
Density Ratio-based Proxy Causal Learning Without Density Ratios
Poster Session 2
Bariscan Bozkurt · Ben Deaner · Dimitri Meunier · Liyuan Xu · Arthur Gretton
|
Hall A-E 103 | |
|
Conditioning diffusion models by explicit forward-backward bridging
Poster Session 2
Adrien Corenflos · Zheng Zhao · Thomas Schön · Simo Särkkä · Jens Sjölund
|
Hall A-E 83 | |
|
Understanding Expert Structures on Minimax Parameter Estimation in Contaminated Mixture of Experts
Poster Session 1
Fanqi Yan · Huy Nguyen · Le Dung · Pedram Akbarian Saravi · Nhat Ho
|
Hall A-E 202 | |
|
Understanding the Effect of GCN Convolutions in Regression Tasks
Poster Session 2
Juntong Chen · Johannes Schmidt-Hieber · Claire Donnat · Olga Klopp
|
Hall A-E 133 | |
|
Powerful batch conformal prediction for classification
Poster Session 3
Ulysse Gazin · ruth heller · Etienne Roquain · Aldo Solari
|
Hall A-E 105 | |
|
An Adaptive Method for Weak Supervision with Drifting Data
Poster Session 1
Alessio Mazzetto · Reza Esfandiarpoor · Akash Singirikonda · Eli Upfal · Stephen Bach
|
Hall A-E 70 | |
|
Pure Exploration with Feedback Graphs
Poster Session 3
Alessio Russo · Yichen Song · Aldo Pacchiano
|
Hall A-E 14 | |
|
Efficient Exploitation of Hierarchical Structure in Sparse Reward Reinforcement Learning
Poster Session 1
Gianluca Drappo · Arnaud Robert · Marcello Restelli · Aldo Faisal · Alberto Maria Metelli · Ciara Pike-Burke
|
Hall A-E 59 | |
|
Regularity in Canonicalized Models: A Theoretical Perspective
Poster Session 2
Behrooz Tahmasebi · Stefanie Jegelka
|
Hall A-E 176 | |
|
Learning Pareto manifolds in high dimensions: How can regularization help?
Poster Session 3
Tobias Wegel · Filip Kovačević · Alexandru Tifrea · Fanny Yang
|
Hall A-E 70 | |
|
Optimistic Safety for Online Convex Optimization with Unknown Linear Constraints
Poster Session 2
Spencer Hutchinson · Tianyi Chen · Mahnoosh Alizadeh
|
Hall A-E 146 | |
|
Learning Gaussian Multi-Index Models with Gradient Flow: Time Complexity and Directional Convergence
Poster Session 2
Berfin Simsek · Amire Bendjeddou · Daniel Hsu
|
Hall A-E 183 | |
|
Sparse Activations as Conformal Predictors
Poster Session 2
Margarida Campos · João Cálem · Sophia Sklaviadis · Mario Figueiredo · Andre Martins
|
Hall A-E 45 | |
|
A Causal Framework for Evaluating Deferring Systems
Poster Session 1
Filippo Palomba · Andrea Pugnana · Jose M. Alvarez · Salvatore Ruggieri
|
Hall A-E 160 | |
|
Spectral Representation for Causal Estimation with Hidden Confounders
Poster Session 1
Haotian Sun · Antoine Moulin · Tongzheng Ren · Arthur Gretton · Bo Dai
|
Hall A-E 72 | |
|
A Bias-Variance Decomposition for Ensembles over Multiple Synthetic Datasets
Poster Session 1
Ossi Räisä · Antti Honkela
|
Hall A-E 161 | |
|
Conditional simulation via entropic optimal transport: Toward non-parametric estimation of conditional Brenier maps
Poster Session 3
Ricardo Baptista · Aram-Alexandre Pooladian · Michael Brennan · Youssef Marzouk · Jonathan Niles-Weed
|
Hall A-E 165 | |
|
TVineSynth: A Truncated C-Vine Copula Generator of Synthetic Tabular Data to Balance Privacy and Utility
Poster Session 2
Elisabeth Griesbauer · Claudia Czado · Arnoldo Frigessi · Ingrid Haff
|
Hall A-E 206 | |
|
Analysis of Two-Stage Rollout Designs with Clustering for Causal Inference under Network Interference
Poster Session 2
Mayleen Cortez-Rodriguez · Matthew Eichhorn · Christina Yu
|
Hall A-E 36 | |
|
Optimal Stochastic Trace Estimation in Generative Modeling
Poster Session 1
Xinyang Liu · Hengrong Du · Wei Deng · Ruqi Zhang
|
Hall A-E 179 | |
|
Invariant Link Selector for Spatial-Temporal Out-of-Distribution Problem
Poster Session 3
Katherine Tieu · Dongqi Fu · Jun Wu · Jingrui He
|
Hall A-E 24 | |
|
Selecting the Number of Communities for Weighted Degree-Corrected Stochastic Block Models
Poster Session 2
Yucheng Liu · Xiaodong Li
|
Hall A-E 199 | |
|
Elastic Representation: Mitigating Spurious Correlations for Group Robustness
Poster Session 3
Tao Wen · Zihan Wang · Quan Zhang · Qi Lei
|
Hall A-E 190 | |
|
Linearized Wasserstein Barycenters: Synthesis, Analysis, Representational Capacity, and Applications
Poster Session 3
Matthew Werenski · Brendan Mallery · Shuchin Aeron · James Murphy
|
Hall A-E 81 | |
|
Understanding GNNs and Homophily in Dynamic Node Classification
Poster Session 1
Michael Ito · Danai Koutra · Jenna Wiens
|
Hall A-E 75 | |
|
Learning Laplacian Positional Encodings for Heterophilous Graphs
Poster Session 3
Michael Ito · Jiong Zhu · Dexiong Chen · Danai Koutra · Jenna Wiens
|
Hall A-E 177 | |
|
Pareto Set Identification With Posterior Sampling
Poster Session 1
Cyrille Kone · Marc Jourdan · Emilie Kaufmann
|
Hall A-E 119 | |
|
Personalized Convolutional Dictionary Learning of Physiological Time Series
Poster Session 2
Axel Roques · Samuel Gruffaz · Kyurae Kim · Alain Durmus · Laurent Oudre
|
Hall A-E 172 | |
|
Optimal estimation of linear non-Gaussian structure equation models
Poster Session 2
Sunmin Oh · Seungsu Han · Gunwoong Park
|
Hall A-E 159 | |
|
Factor Analysis with Correlated Topic Model for Multi-Modal Data
Poster Session 2
Małgorzata Łazęcka · Ewa Szczurek
|
Hall A-E 181 | |
|
Evaluating Prediction-based Interventions with Human Decision Makers In Mind
Poster Session 3
Inioluwa Raji · Lydia Liu
|
Hall A-E 63 | |
|
General Staircase Mechanisms for Optimal Differential Privacy
Poster Session 2
Alex Kulesza · Ananda Theertha Suresh · Yuyan Wang
|
Hall A-E 180 | |
|
Microfoundation inference for strategic prediction
Poster Session 1
Daniele Bracale · Subha Maity · Felipe Maia Polo · Seamus Seamus · Moulinath Banerjee · Yuekai Sun
|
Hall A-E 185 | |
|
Prior-Fitted Networks Scale to Larger Datasets When Treated as Weak Learners
Poster Session 1
Yuxin Wang · Botian Jiang · Yiran Guo · Quan Gan · David Wipf · Xuanjing Huang · Xipeng Qiu
|
Hall A-E 192 | |
|
Automatically Adaptive Conformal Risk Control
Poster Session 1
Vincent Blot · Anastasios Angelopoulos · Michael Jordan · Nicolas Brunel
|
Hall A-E 194 | |
|
Bayes meets Bernstein at the Meta Level: an Analysis of Fast Rates in Meta-Learning with PAC-Bayes
Poster Session 1
Charles Riou
|
Hall A-E 197 | |
|
Representer Theorems for Metric and Preference Learning: Geometric Insights and Algorithms
Poster Session 3
Peyman Morteza
|
Hall A-E 150 | |
|
Estimation of copulas via Maximum Mean Discrepancy
Poster Session 1
Badr-Eddine Chérief-Abdellatif
|
Hall A-E 196 | |
|
Radial Neighbors for Provably Accurate Scalable Approximations of Gaussian Processes
Poster Session 2
Cheng Li
|
Hall A-E 195 | |
|
Near-Optimal Algorithm for Non-Stationary Kernelized Bandits
Poster Session 1
Shogo Iwazaki · Shion Takeno
|
Hall A-E 2 | |
|
Causal discovery in mixed additive noise models
Poster Session 1
Ruicong Yao · Tim Verdonck · Jakob Raymaekers
|
Hall A-E 1 | |
|
Entropic Matching for Expectation Propagation of Markov Jump Processes
Poster Session 3
Yannick Eich · Bastian Alt · Heinz Koeppl
|
Hall A-E 2 | |
|
Loss Gradient Gaussian Width based Generalization and Optimization Guarantees
Poster Session 2
Arindam Banerjee · Qiaobo Li · Yingxue Zhou
|
Hall A-E 2 | |
|
Importance-weighted Positive-unlabeled Learning for Distribution Shift Adaptation
Poster Session 1
Atsutoshi Kumagai · Tomoharu Iwata · Hiroshi Takahashi · Taishi Nishiyama · Yasuhiro Fujiwara
|
Hall A-E 6 | |
|
Variation Due to Regularization Tractably Recovers Bayesian Deep Learning Uncertainty
Poster Session 3
James McInerney · Nathan Kallus
|
Hall A-E 60 | |
|
ScoreFusion: Fusing Score-based Generative Models via Kullback–Leibler Barycenters
Poster Session 2
Hao Liu · Junze Ye · Jose Blanchet · NIAN SI
|
Hall A-E 5 | |
|
Unbiased and Sign Compression in Distributed Learning: Comparing Noise Resilience via SDEs
Poster Session 1
Enea Monzio Compagnoni · Rustem Islamov · Frank Proske · Aurelien Lucchi
|
Hall A-E 8 | |
|
A Novel Convex Gaussian Min Max Theorem for Repeated Features
Poster Session 3
David Bosch · Ashkan Panahi
|
Hall A-E 5 | |
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On Distributional Discrepancy for Experimental Design with General Assignment Probabilities
Poster Session 3
Anup Rao · Peng Zhang
|
Hall A-E 7 | |
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The Pivoting Framework: Frank-Wolfe Algorithms with Active Set Size Control
Poster Session 2
Mathieu Besançon · Sebastian Pokutta · Elias Wirth
|
Hall A-E 201 | |
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Additive Model Boosting: New Insights and Path(ologie)s
Poster Session 3
Rickmer Schulte · David Rügamer
|
Hall A-E 10 | |
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Implicit Diffusion: Efficient optimization through stochastic sampling
Poster Session 2
Pierre Marion · Anna Korba · Peter Bartlett · Mathieu Blondel · Valentin De Bortoli · Arnaud Doucet · Felipe Llinares-López · Courtney Paquette · Quentin Berthet
|
Hall A-E 7 | |
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Statistical Learning of Distributionally Robust Stochastic Control in Continuous State Spaces
Poster Session 1
Shengbo Wang · NIAN SI · Jose Blanchet · Zhengyuan Zhou
|
Hall A-E 16 | |
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A Robust Kernel Statistical Test of Invariance: Detecting Subtle Asymmetries
Poster Session 3
Ashkan Soleymani · Behrooz Tahmasebi · Stefanie Jegelka · Patrick Jaillet
|
Hall A-E 13 | |
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Offline Multi-task Transfer RL with Representational Penalization
Poster Session 1
Avinandan Bose · Simon Du · Maryam Fazel
|
Hall A-E 17 | |
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To Give or Not to Give? The Impacts of Strategically Withheld Recourse
Poster Session 3
Yatong Chen · Andrew Estornell · Yevgeniy Vorobeychik · Yang Liu
|
Hall A-E 15 | |
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Generalized Criterion for Identifiability of Additive Noise Models Using Majorization
Poster Session 2
Aramayis Dallakyan · Yang Ni
|
Hall A-E 11 | |
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Nonparametric estimation of Hawkes processes with RKHSs
Poster Session 2
Anna Bonnet · Maxime Sangnier
|
Hall A-E 12 | |
|
The Local Learning Coefficient: A Singularity-Aware Complexity Measure
Poster Session 3
Edmund Lau · Zach Furman · George Wang · Daniel Murfet · Susan Wei
|
Hall A-E 17 | |
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Continuous Structure Constraint Integration for Robust Causal Discovery
Poster Session 2
Lyuzhou Chen · Taiyu Ban · Derui Lyu · Yijia Sun · Kangtao Hu · Xiangyu Wang · Huanhuan Chen
|
Hall A-E 14 | |
|
Is Merging Worth It? Securely Evaluating the Information Gain for Causal Dataset Acquisition
Poster Session 3
Jake Fawkes · Lucile Ter-Minassian · Desi Ivanova · Uri Shalit · Chris Holmes
|
Hall A-E 18 | |
|
Variance-Aware Linear UCB with Deep Representation for Neural Contextual Bandits
Poster Session 3
Ha Manh Bui · Enrique Mallada · Anqi Liu
|
Hall A-E 21 | |
|
Tensor Network-Constrained Kernel Machines as Gaussian Processes
Poster Session 3
Frederiek Wesel · Kim Batselier
|
Hall A-E 22 | |
|
Theoretically Grounded Pruning of Large Ground Sets for Constrained, Discrete Optimization
Poster Session 2
Ankur Nath · Alan Kuhnle
|
Hall A-E 21 | |
|
Amortized Probabilistic Conditioning for Optimization, Simulation and Inference
Poster Session 1
Paul Chang · Nasrulloh Loka · Daolang Huang · Ulpu Remes · Samuel Kaski · Luigi Acerbi
|
Hall A-E 23 | |
|
Achieving $\widetilde{\mathcal{O}}(\sqrt{T})$ Regret in Average-Reward POMDPs with Known Observation Models
Poster Session 1
Alessio Russo · Alberto Maria Metelli · Marcello Restelli
|
Hall A-E 82 | |
|
Causal Discovery-Driven Change Point Detection in Time Series
Poster Session 3
Shanyun Gao · Raghavendra Addanki · Tong Yu · Ryan Rossi · Murat Kocaoglu
|
Hall A-E 25 | |
|
Truncated Inverse-Lévy Measure Representation of the Beta Process
Poster Session 2
Junyi ZHANG · Angelos Dassios · Zhong Chong · Qiufei Yao
|
Hall A-E 23 | |
|
Locally Private Estimation with Public Features
Poster Session 1
Yuheng Ma · Ke Jia · Hanfang Yang
|
Hall A-E 25 | |
|
Local Stochastic Sensitivity Analysis For Dynamical Systems
Poster Session 1
Nishant Panda · Jehanzeb Chaudhry · Natalie Klein · James Carzon · Troy Butler
|
Hall A-E 26 | |
|
A Unifying Framework for Action-Conditional Self-Predictive Reinforcement Learning
Poster Session 2
Khimya Khetarpal · Zhaohan Daniel Guo · Bernardo Avila Pires · Yunhao Tang · Clare Lyle · Mark Rowland · Nicolas Heess · Diana Borsa · Arthur Guez · Will Dabney
|
Hall A-E 26 | |
|
Models That Are Interpretable But Not Transparent
Poster Session 3
Chudi Zhong · Panyu Chen · Cynthia Rudin
|
Hall A-E 3 | |
|
Planning and Learning in Risk-Aware Restless Multi-Arm Bandits
Poster Session 1
Nima Akbarzadeh · Yossiri Adulyasak · Erick Delage
|
Hall A-E 28 | |
|
Perfect Recovery for Random Geometric Graph Matching with Shallow Graph Neural Networks
Poster Session 2
Suqi Liu · Morgane Austern
|
Hall A-E 27 | |
|
Relating Piecewise Linear Kolmogorov Arnold Networks to ReLU Networks
Poster Session 1
Nandi Schoots · Mattia Jacopo Villani · Niels uit de Bos
|
Hall A-E 29 | |
|
The cost of local and global fairness in Federated Learning
Poster Session 3
Yuying Duan · Gelei Xu · Yiyu Shi · Michael Lemmon
|
Hall A-E 40 | |
|
M-HOF-Opt: Multi-Objective Hierarchical Output Feedback Optimization via Multiplier Induced Loss Landscape Scheduling
Poster Session 3
Xudong Sun · Nutan Chen · Alexej Gossmann · Yu Xing · Matteo Wohlrapp · Emilio Dorigatti · Carla Feistner · Felix Drost · Daniele Scarcella · Lisa Beer · Carsten Marr
|
Hall A-E 43 | |
|
Beyond Discretization: Learning the Optimal Solution Path
Poster Session 2
Qiran Dong · Paul Grigas · Vishal Gupta
|
Hall A-E 35 | |
|
Steering No-Regret Agents in MFGs under Model Uncertainty
Poster Session 1
Leo Widmer · Jiawei Huang · Niao He
|
Hall A-E 36 | |
|
Energy-consistent Neural Operators for Hamiltonian and Dissipative Partial Differential Equations
Poster Session 2
Yusuke Tanaka · Takaharu Yaguchi · Tomoharu Iwata · Naonori Ueda
|
Hall A-E 37 | |
|
Data-Driven Upper Confidence Bounds with Near-Optimal Regret for Heavy-Tailed Bandits
Poster Session 3
Ambrus Tamás · Szabolcs Szentpéteri · Balázs Csanád Csáji
|
Hall A-E 44 | |
|
Adversarial Training in High-Dimensional Regression: Generated Data and Neural Networks
Poster Session 3
Yue Xing
|
Hall A-E 46 | |
|
Survival Models: Proper Scoring Rule and Stochastic Optimization with Competing Risks
Poster Session 2
Julie Alberge · Vincent Maladiere · Olivier Grisel · Judith Abécassis · Gaël Varoquaux
|
Hall A-E 39 | |
|
Characterizing the Accuracy-Communication-Privacy Trade-off in Distributed Stochastic Convex Optimization
Poster Session 1
Sudeep Salgia · Nikola Pavlovic · Yuejie Chi · Qing Zhao
|
Hall A-E 38 | |
|
Model Evaluation in the Dark: Robust Classifier Metrics with Missing Labels
Poster Session 2
Danial Dervovic · Michael Cashmore
|
Hall A-E 43 | |
|
Performative Reinforcement Learning with Linear Markov Decision Process
Poster Session 3
Debmalya Mandal · Goran Radanovic
|
Hall A-E 49 | |
|
What and How does In-Context Learning Learn? Bayesian Model Averaging, Parameterization, and Generalization
Poster Session 3
Yufeng Zhang · Fengzhuo Zhang · Zhuoran Yang · Zhaoran Wang
|
Hall A-E 50 | |
|
Near-Polynomially Competitive Active Logistic Regression
Poster Session 2
Yihan Zhou · Eric Price · Trung Nguyen
|
Hall A-E 47 | |
|
Statistical Test for Auto Feature Engineering by Selective Inference
Poster Session 2
Tatsuya Matsukawa · Tomohiro Shiraishi · Shuichi Nishino · Teruyuki Katsuoka · Ichiro Takeuchi
|
Hall A-E 50 | |
|
From Deep Additive Kernel Learning to Last-Layer Bayesian Neural Networks via Induced Prior Approximation
Poster Session 3
Wenyuan Zhao · Haoyuan Chen · Tie Liu · Rui Tuo · Chao Tian
|
Hall A-E 53 | |
|
Disentangling Interactions and Dependencies in Feature Attributions
Poster Session 2
Gunnar König · Eric Günther · Ulrike von Luxburg
|
Hall A-E 51 | |
|
Differentiable Causal Structure Learning with Identifiability by NOTIME
Poster Session 2
Jeroen Berrevoets · Jakob Raymaekers · Mihaela van der Schaar · Tim Verdonck · Ruicong Yao
|
Hall A-E 57 | |
|
Differential Privacy in Distributed Learning: Beyond Uniformly Bounded Stochastic Gradients
Poster Session 1
Yue Huang · Jiaojiao Zhang · Qing Ling
|
Hall A-E 44 | |
|
Scalable Implicit Graphon Learning
Poster Session 2
Ali Azizpour · Nicolas Zilberstein · Santiago Segarra
|
Hall A-E 56 | |
|
Tighter Confidence Bounds for Sequential Kernel Regression
Poster Session 1
Hamish Flynn · David Reeb
|
Hall A-E 45 | |
|
Robust Offline Policy Learning with Observational Data from Multiple Sources
Poster Session 3
Aldo Carranza · Susan Athey
|
Hall A-E 57 | |
|
Proximal Sampler with Adaptive Step Size
Poster Session 1
Bo Yuan · Jiaojiao Fan · Jiaming Liang · Yongxin Chen
|
Hall A-E 46 | |
|
Conditional Generative Learning from Invariant Representations in Multi-Source: Robustness and Efficiency
Poster Session 1
Guojun Zhu · Sanguo Zhang · Mingyang Ren
|
Hall A-E 48 | |
|
Near-Optimal Sample Complexity in Reward-Free Kernel-based Reinforcement Learning
Poster Session 3
Aya Kayal · Sattar Vakili · Laura Toni · Alberto Bernacchia
|
Hall A-E 58 | |
|
Hypernym Bias: Unraveling Deep Classifier Training Dynamics through the Lens of Class Hierarchy
Poster Session 1
Roman Malashin · Valeria Yachnaya · Alexandr Mullin
|
Hall A-E 49 | |
|
Tensor Network Based Feature Learning Model
Poster Session 2
Albert Saiapin · Kim Batselier
|
Hall A-E 61 | |
|
Enhancing Feature-Specific Data Protection via Bayesian Coordinate Differential Privacy
Poster Session 3
Maryam Aliakbarpour · Syomantak Chaudhuri · Thomas Courtade · Alireza Fallah · Michael Jordan
|
Hall A-E 59 | |
|
A Family of Distributions of Random Subsets for Controlling Positive and Negative Dependence
Poster Session 2
Takahiro Kawashima · Hideitsu Hino
|
Hall A-E 63 | |
|
Type Information-Assisted Self-Supervised Knowledge Graph Denoising
Poster Session 1
Jiaqi Sun · Yujia Zheng · Xinshuai Dong · Haoyue Dai · Kun Zhang
|
Hall A-E 51 | |
|
Scalable Inference for Bayesian Multinomial Logistic-Normal Dynamic Linear Models
Poster Session 2
Manan Saxena · Tinghua Chen · Justin Silverman
|
Hall A-E 65 | |
|
Behavior-Inspired Neural Networks for Relational Inference
Poster Session 1
Yulong Yang · Bowen Feng · Keqin Wang · Naomi Leonard · Adji Bousso Dieng · Christine Allen-Blanchette
|
Hall A-E 53 | |
|
On the Geometry and Optimization of Polynomial Convolutional Networks
Poster Session 2
Vahid Shahverdi · Giovanni Luca Marchetti · Kathlén Kohn
|
Hall A-E 66 | |
|
Generalization Lower Bounds for GD and SGD in Smooth Stochastic Convex Optimization
Poster Session 2
Peiyuan Zhang · Jiaye Teng · Jingzhao Zhang
|
Hall A-E 68 | |
|
RetroDiff: Retrosynthesis as Multi-stage Distribution Interpolation
Poster Session 2
Yiming Wang · Yuxuan Song · Yiqun Wang · Minkai Xu · Rui Wang · Hao Zhou · Wei-Ying Ma
|
Hall A-E 70 | |
|
Robust Fair Clustering with Group Membership Uncertainty Sets
Poster Session 3
Sharmila Duppala · Juan Luque · John Dickerson · Seyed Esmaeili
|
Hall A-E 64 | |
|
Near-optimal algorithms for private estimation and sequential testing of collision probability
Poster Session 1
Robert Busa-Fekete · Umar Syed
|
Hall A-E 62 | |
|
InnerThoughts: Disentangling Representations and Predictions in Large Language Models
Poster Session 2
Didier Chételat · Joseph Cotnareanu · Rylee Thompson · Yingxue Zhang · Mark Coates
|
Hall A-E 71 | |
|
Variance-Dependent Regret Bounds for Nonstationary Linear Bandits
Poster Session 1
Zhiyong Wang · Jize Xie · Yi Chen · John C. S. Lui · Dongruo Zhou
|
Hall A-E 65 | |
|
Offline RL via Feature-Occupancy Gradient Ascent
Poster Session 2
Gergely Neu · Nneka Okolo
|
Hall A-E 75 | |
|
No-Regret Bayesian Optimization with Stochastic Observation Failures
Poster Session 3
Shogo Iwazaki · Tomohiko Tanabe · Mitsuru Irie · Shion Takeno · Kota Matsui · Yu Inatsu
|
Hall A-E 67 | |
|
Time-varying Gaussian Process Bandits with Unknown Prior
Poster Session 1
Juliusz Ziomek · Masaki Adachi · Michael A. Osborne
|
Hall A-E 68 | |
|
Provable Benefits of Task-Specific Prompts for In-context Learning
Poster Session 1
Xiangyu Chang · Yingcong Li · Muti Kara · Samet Oymak · Amit Roy-Chowdhury
|
Hall A-E 71 | |
|
Global Optimization of Gaussian Process Acquisition Functions Using a Piecewise-Linear Kernel Approximation
Poster Session 3
Yilin Xie · Shiqiang Zhang · Joel Paulson · Calvin Tsay
|
Hall A-E 72 | |
|
Adaptive Extragradient Methods for Root-finding Problems under Relaxed Assumptions
Poster Session 2
Yang Luo · Michael O'Neill
|
Hall A-E 78 | |
|
Privacy in Metalearning and Multitask Learning: Modeling and Separations
Poster Session 1
Maryam Aliakbarpour · Konstantina Bairaktari · Adam Smith · Marika Swanberg · Jonathan Ullman
|
Hall A-E 74 | |
|
Strong Screening Rules for Group-based SLOPE Models
Poster Session 2
Fabio Feser · Marina Evangelou
|
Hall A-E 82 | |
|
Reinforcement Learning for Adaptive MCMC
Poster Session 1
Congye Wang · Wilson Ye Chen · Heishiro Kanagawa · Chris Oates
|
Hall A-E 77 | |
|
Separation-Based Distance Measures for Causal Graphs
Poster Session 2
Jonas Wahl · Jakob Runge
|
Hall A-E 84 | |
|
Level Set Teleportation: An Optimization Perspective
Poster Session 1
Aaron Mishkin · Alberto Bietti · Robert Gower
|
Hall A-E 78 | |
|
Prepacking: A Simple Method for Fast Prefilling and Increased Throughput in Large Language Models
Poster Session 3
Siyan Zhao · Daniel Israel · Guy Van den Broeck · Aditya Grover
|
Hall A-E 77 | |
|
The Hardness of Validating Observational Studies with Experimental Data
Poster Session 3
Jake Fawkes · Michael O'Riordan · Athanasios Vlontzos · Oriol Corcoll · Ciarán Gilligan-Lee
|
Hall A-E 80 | |
|
Choice is what matters after Attention
Poster Session 1
Chenhan Fu · guoming wang · Juncheng Li · Rongxing Lu · Siliang Tang
|
Hall A-E 79 | |
|
Online Student-$t$ Processes with an Overall-local Scale Structure for Modelling Non-stationary Data
Poster Session 3
Taole Sha · Michael Zhang
|
Hall A-E 84 | |
|
Generalization Bounds for Dependent Data using Online-to-Batch Conversion.
Poster Session 2
Sagnik Chatterjee · MANUJ MUKHERJEE · Alhad Sethi
|
Hall A-E 90 | |
|
Meta-learning from Heterogeneous Tensors for Few-shot Tensor Completion
Poster Session 2
Tomoharu Iwata · Atsutoshi Kumagai
|
Hall A-E 91 | |
|
Stochastic Weight Sharing for Bayesian Neural Networks
Poster Session 3
Moule Lin · Shuhao Guan · Weipeng Jing · Goetz Botterweck · Andrea Patane
|
Hall A-E 85 | |
|
Learning-Augmented Algorithms for Online Concave Packing and Convex Covering Problems
Poster Session 2
Elena Grigorescu · Young-San Lin · Maoyuan Song
|
Hall A-E 93 | |
|
Recursive Learning of Asymptotic Variational Objectives
Poster Session 1
Alessandro Mastrototaro · Mathias Müller · Jimmy Olsson
|
Hall A-E 84 | |
|
S-CFE: Simple Counterfactual Explanations
Poster Session 2
Shpresim Sadiku · Moritz Wagner · Sai Ganesh Nagarajan · Sebastian Pokutta
|
Hall A-E 94 | |
|
Learning to Forget: Bayesian Time Series Forecasting using Recurrent Sparse Spectrum Signature Gaussian Processes
Poster Session 2
Csaba Tóth · Masaki Adachi · Michael A. Osborne · Harald Oberhauser
|
Hall A-E 97 | |
|
AlleNoise - large-scale text classification benchmark dataset with real-world label noise
Poster Session 1
Alicja Rączkowska · Aleksandra Osowska-Kurczab · Jacek Szczerbiński · Kalina Jasinska-Kobus · Klaudia Nazarko
|
Hall A-E 87 | |
|
Dynamic DBSCAN with Euler Tour Sequences
Poster Session 3
Seiyun Shin · Ilan Shomorony · Peter Macgregor
|
Hall A-E 88 | |
|
Flexible Copula-Based Mixed Models in Deep Learning: A Scalable Approach to Arbitrary Marginals
Poster Session 2
Giora Simchoni · Saharon Rosset
|
Hall A-E 100 | |
|
From Learning to Optimize to Learning Optimization Algorithms
Poster Session 3
Camille Castera · Peter Ochs
|
Hall A-E 89 | |
|
Explaining ViTs Using Information Flow
Poster Session 3
Chase Walker · Md Rubel Ahmed · Sumit Kumar Jha · Rickard Ewetz
|
Hall A-E 90 | |
|
Stochastic Approximation with Unbounded Markovian Noise: A General-Purpose Theorem
Poster Session 1
Shaan Ul Haque · Siva Theja Maguluri
|
Hall A-E 93 | |
|
Towards Cost Sensitive Decision Making
Poster Session 1
Yang Li · Junier Oliva
|
Hall A-E 94 | |
|
Emergence of Globally Attracting Fixed Points in Deep Neural Networks With Nonlinear Activations
Poster Session 1
Amir Joudaki · Thomas Hofmann
|
Hall A-E 95 | |
|
Rethinking Neural-based Matrix Inversion: Why can't, and Where can
Poster Session 2
Yuliang Ji · Jian Wu · Yuanzhe Xi
|
Hall A-E 101 | |
|
Performative Prediction on Games and Mechanism Design
Poster Session 3
Antonio Gois · Mehrnaz Mofakhami · Fernando Santos · Simon Lacoste-Julien · Gauthier Gidel
|
Hall A-E 92 | |
|
Learning Visual-Semantic Subspace Representations
Poster Session 2
Gabriel Moreira · Manuel Marques · Joao Costeira · Alexander Hauptmann
|
Hall A-E 104 | |
|
HAR-former: Hybrid Transformer with an Adaptive Time-Frequency Representation Matrix for Long-Term Series Forecasting
Poster Session 1
kenghao zheng · ZI LONG · Shuxin Wang
|
Hall A-E 99 | |
|
InfoNCE: Identifying the Gap Between Theory and Practice
Poster Session 1
Evgenia Rusak · Patrik Reizinger · Attila Juhos · Oliver Bringmann · Roland Zimmermann · Wieland Brendel
|
Hall A-E 100 | |
|
On the Identifiability of Causal Abstractions
Poster Session 2
Xiusi Li · Sékou-Oumar Kaba · Siamak Ravanbakhsh
|
Hall A-E 105 | |
|
Robust Estimation in metric spaces: Achieving Exponential Concentration with a Fr\'echet Median
Poster Session 1
Jakwang Kim · Jiyoung Park · Anirban Bhattacharya
|
Hall A-E 103 | |
|
Fine-Tuning with Uncertainty-Aware Priors Makes Vision and Language Foundation Models More Reliable
Poster Session 1
Tim G. J. Rudner · Xiang Pan · Yucen Li · Ravid Shwartz-Ziv · Andrew Wilson
|
Hall A-E 104 | |
|
Gaussian Smoothing in Saliency Maps: The Stability-Fidelity Trade-Off in Neural Network Interpretability
Poster Session 1
Zhuorui Ye · Farzan Farnia
|
Hall A-E 105 | |
|
Noisy Low-Rank Matrix Completion via Transformed $L_1$ Regularization and its Theoretical Properties
Poster Session 3
Kun Zhao · Jiayi Wang · Yifei Lou
|
Hall A-E 95 | |
|
A primer on linear classification with missing data
Poster Session 2
Angel David Reyero Lobo · Alexis Ayme · Claire Boyer · Erwan Scornet
|
Hall A-E 106 | |
|
When Can We Solve the Weighted Low Rank Approximation Problem in Truly Subquadratic Time?
Poster Session 2
Chenyang Li · Yingyu Liang · Zhenmei Shi · Zhao Song
|
Hall A-E 107 | |
|
Do Regularization Methods for Shortcut Mitigation Work As Intended?
Poster Session 3
Haoyang Hong · Ioanna Papanikolaou · Sonali Parbhoo
|
Hall A-E 100 | |
|
Learning in Herding Mean Field Games: Single-Loop Algorithm with Finite-Time Convergence Analysis
Poster Session 2
Sihan Zeng · Sujay Bhatt · Alec Koppel · Sumitra Ganesh
|
Hall A-E 108 | |
|
A Tight Regret Analysis of Non-Parametric Repeated Contextual Brokerage
Poster Session 1
Francois Bachoc · Tommaso Cesari · Roberto Colomboni
|
Hall A-E 108 | |
|
Safety in the Face of Adversity: Achieving Zero Constraint Violation in Online Learning with Slowly Changing Constraints
Poster Session 2
Bassel Hamoud · Ilnura Usmanova · Kfir Yehuda Levy
|
Hall A-E 110 | |
|
Transfer Neyman-Pearson Algorithm for Outlier Detection
Poster Session 3
Mohammadreza Mousavi Kalan · Eitan Neugut · Samory Kpotufe
|
Hall A-E 103 | |
|
$\beta$-th order Acyclicity Derivatives for DAG Learning
Poster Session 3
Madhumitha Shridharan · Garud Iyengar
|
Hall A-E 104 | |
|
Fair Resource Allocation in Weakly Coupled Markov Decision Processes
Poster Session 1
Xiaohui Tu · Yossiri Adulyasak · Nima Akbarzadeh · Erick Delage
|
Hall A-E 112 | |
|
Near-Optimal Sample Complexity for Iterated CVaR Reinforcement Learning with a Generative Model
Poster Session 3
Zilong Deng · Simon Khan · Shaofeng Zou
|
Hall A-E 106 | |
|
Variational Inference on the Boolean Hypercube with the Quantum Entropy
Poster Session 2
Eliot Beyler · Francis Bach
|
Hall A-E 113 | |
|
Effective Bayesian Causal Inference via Structural Marginalisation and Autoregressive Orders
Poster Session 1
Christian Toth · Christian Knoll · Franz Pernkopf · Robert Peharz
|
Hall A-E 115 | |
|
Robust Gradient Descent for Phase Retrieval
Poster Session 2
Alex Buna · Patrick Rebeschini
|
Hall A-E 115 | |
|
MODL: Multilearner Online Deep Learning
Poster Session 2
Antonios Valkanas · Boris Oreshkin · Mark Coates
|
Hall A-E 116 | |
|
Geometry-Aware Generative Autoencoders for Warped Riemannian Metric Learning and Generative Modeling on Data Manifolds
Poster Session 3
Xingzhi Sun · Danqi Liao · Kincaid MacDonald · Yanlei Zhang · Guillaume Huguet · Guy Wolf · Ian Adelstein · Tim G. J. Rudner · Smita Krishnaswamy
|
Hall A-E 110 | |
|
Active Bipartite Ranking with Smooth Posterior Distributions
Poster Session 2
James Cheshire · Stephan Clemencon
|
Hall A-E 160 | |
|
Looped ReLU MLPs May Be All You Need as Practical Programmable Computers
Poster Session 1
Yingyu Liang · Zhizhou Sha · Zhenmei Shi · Zhao Song · Yufa Zhou
|
Hall A-E 120 | |
|
Your copula is a classifier in disguise: classification-based copula density estimation
Poster Session 3
David Huk · Mark Steel · Ritabrata Dutta
|
Hall A-E 111 | |
|
Covariance Selection over Networks
Poster Session 2
Wenfu Xia · Fengpei Li · Ying Sun · Ziping Zhao
|
Hall A-E 121 | |
|
BudgetIV: Optimal Partial Identification of Causal Effects with Mostly Invalid Instruments
Poster Session 2
Jordan Penn · Lee Gunderson · Gecia Bravo-Hermsdorff · Ricardo Silva · David Watson
|
Hall A-E 125 | |
|
Domain Adaptation and Entanglement: an Optimal Transport Perspective
Poster Session 2
Okan Koc · Alexander Soen · Chao-Kai Chiang · Masashi Sugiyama
|
Hall A-E 124 | |
|
Order-Optimal Regret with Novel Policy Gradient Approaches in Infinite-Horizon Average Reward MDPs
Poster Session 3
Swetha Ganesh · Washim Uddin Mondal · Vaneet Aggarwal
|
Hall A-E 114 | |
|
Optimal downsampling for Imbalanced Classification with Generalized Linear Models
Poster Session 1
Yan Chen · Jose Blanchet · Krzysztof Dembczynski · Laura F. Nern · Aaron Flores
|
Hall A-E 124 | |
|
Improving N-Glycosylation and Biopharmaceutical Production Predictions Using AutoML-Built Residual Hybrid Models
Poster Session 2
Pedro Seber e Silva · Richard Braatz
|
Hall A-E 127 | |
|
Protein Fitness Landscape: Spectral Graph Theory Perspective
Poster Session 3
HAO ZHU · Daniel M. Steinberg · Piotr Koniusz
|
Hall A-E 117 | |
|
Statistical Inference for Feature Selection after Optimal Transport-based Domain Adaptation
Poster Session 1
Thang Loi Nguyen · Loc Duong · Vo Duy
|
Hall A-E 128 | |
|
Differentially Private Kernelized Contextual Bandits
Poster Session 3
Nikola Pavlovic · Sudeep Salgia · Qing Zhao
|
Hall A-E 121 | |
|
Epistemic Uncertainty and Excess Risk in Variational Inference
Poster Session 1
Futoshi Futami
|
Hall A-E 129 | |
|
Independent Learning in Performative Markov Potential Games
Poster Session 1
Rilind Sahitaj · Paulius Sasnauskas · Yiğit Yalın · Debmalya Mandal · Goran Radanovic
|
Hall A-E 130 | |
|
Natural Language Counterfactual Explanations for Graphs Using Large Language Models
Poster Session 3
Flavio Giorgi · Cesare Campagnano · Fabrizio Silvestri · Gabriele Tolomei
|
Hall A-E 124 | |
|
SemlaFlow -- Efficient 3D Molecular Generation with Latent Attention and Equivariant Flow Matching
Poster Session 2
Ross Irwin · Alessandro Tibo · Jon Paul Janet · Simon Olsson
|
Hall A-E 132 | |
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Global Group Fairness in Federated Learning via Function Tracking
Poster Session 3
Yves Rychener · Daniel Kuhn · Yifan Hu
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Hall A-E 127 | |
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Large Covariance Matrix Estimation With Nonnegative Correlations
Poster Session 2
Yixin Yan · QIAO YANG · Ziping Zhao
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Hall A-E 134 | |
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Efficient Estimation of a Gaussian Mean with Local Differential Privacy
Poster Session 1
Nikita Kalinin · Lukas Steinberger
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Hall A-E 137 | |
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How Well Can Transformers Emulate In-Context Newton's Method?
Poster Session 1
Angeliki Giannou · Liu Yang · Tianhao Wang · Dimitris Papailiopoulos · Jason Lee
|
Hall A-E 139 | |
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On Preference-based Stochastic Linear Contextual Bandits with Knapsacks
Poster Session 1
Xin Liu
|
Hall A-E 138 | |
|
Adaptive Convergence Rates for Log-Concave Maximum Likelihood
Poster Session 3
Gil Kur · Aditya Guntuboyina
|
Hall A-E 130 | |
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On Tractability of Learning Bayesian Networks with Ancestral Constraints
Poster Session 2
Juha Harviainen · Pekka Parviainen
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Hall A-E 136 | |
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On Tradeoffs in Learning-Augmented Algorithms
Poster Session 3
Ziyad Benomar · Vianney Perchet
|
Hall A-E 132 | |
|
Approximating the Total Variation Distance between Gaussians
Poster Session 1
Arnab Bhattacharyya · Weiming Feng · Piyush Srivastava
|
Hall A-E 140 | |
|
Transfer Learning for High-dimensional Reduced Rank Time Series Models
Poster Session 2
Mingliang Ma · Abolfazl Safikhani
|
Hall A-E 139 | |
|
Wasserstein Gradient Flow over Variational Parameter Space for Variational Inference
Poster Session 1
Dai Hai Nguyen · Tetsuya Sakurai · Hiroshi Mamitsuka
|
Hall A-E 142 | |
|
Quantile Additive Trend Filtering
Poster Session 3
Zhi Zhang · Kyle Ritscher · Oscar Madrid
|
Hall A-E 136 | |
|
Linear Submodular Maximization with Bandit Feedback
Poster Session 1
Wenjing Chen · Victoria Crawford
|
Hall A-E 147 | |
|
Fixed-Budget Change Point Identification in Piecewise Constant Bandits
Poster Session 1
Joseph Lazzaro · Ciara Pike-Burke
|
Hall A-E 148 | |
|
Primal-Dual Spectral Representation for Off-policy Evaluation
Poster Session 3
Yang Hu · Tianyi Chen · Na Li · Kai Wang · Bo Dai
|
Hall A-E 139 | |
|
On the Power of Multitask Representation Learning with Gradient Descent
Poster Session 3
Qiaobo Li · Zixiang Chen · Yihe Deng · Yiwen Kou · Yuan Cao · Quanquan Gu
|
Hall A-E 140 | |
|
A Safe Exploration Approach to Constrained Markov Decision Processes
Poster Session 3
Tingting Ni · Maryam Kamgarpour
|
Hall A-E 141 | |
|
Theoretical Convergence Guarantees for Variational Autoencoders
Poster Session 3
Sobihan Surendran · Antoine Godichon-Baggioni · Sylvain Le Corff
|
Hall A-E 142 | |
|
Bridging Multiple Worlds: Multi-marginal Optimal Transport for Causal Partial-identification Problem
Poster Session 2
Zijun Gao · Shu Ge · Jian Qian
|
Hall A-E 147 | |
|
Lower Bounds for Time-Varying Kernelized Bandits
Poster Session 1
Xu Cai · Jonathan Scarlett
|
Hall A-E 204 | |
|
Randomized Iterative Solver as Iterative Refinement: A Simple Fix Towards Backward Stability
Poster Session 1
Ruihan Xu · Yiping Lu
|
Hall A-E 150 | |
|
Decision-Point Guided Safe Policy Improvement
Poster Session 3
Abhishek Sharma · Leo Benac · Sonali Parbhoo · Finale Doshi-Velez
|
Hall A-E 146 | |
|
Efficient and Asymptotically Unbiased Constrained Decoding for Large Language Models
Poster Session 3
Haotian Ye · Himanshu Jain · Chong You · Ananda Theertha Suresh · Haowei Lin · James Zou · Felix Yu
|
Hall A-E 145 | |
|
Understanding the Learning Dynamics of LoRA: A Gradient Flow Perspective on Low-Rank Adaptation in Matrix Factorization
Poster Session 2
Ziqing Xu · Hancheng Min · Lachlan MacDonald · Jinqi Luo · Salma Tarmoun · Enrique Mallada · Rene Vidal
|
Hall A-E 149 | |
|
Reward Maximization for Pure Exploration: Minimax Optimal Good Arm Identification for Nonparametric Multi-Armed Bandits
Poster Session 3
Brian Cho · Dominik Meier · Kyra Gan · Nathan Kallus
|
Hall A-E 147 | |
|
Keeping up with dynamic attackers: Certifying robustness to adaptive online data poisoning
Poster Session 1
Avinandan Bose · Laurent Lessard · Maryam Fazel · Krishnamurthy Dvijotham
|
Hall A-E 18 | |
|
Visualizing token importance for black-box language models
Poster Session 3
Paulius Rauba · Qiyao Wei · Mihaela van der Schaar
|
Hall A-E 154 | |
|
Federated UCBVI: Communication-Efficient Federated Regret Minimization with Heterogeneous Agents
Poster Session 3
Safwan Labbi · Daniil Tiapkin · Lorenzo Mancini · Paul Mangold · Eric Moulines
|
Hall A-E 156 | |
|
Sparse Causal Effect Estimation using Two-Sample Summary Statistics in the Presence of Unmeasured Confounding
Poster Session 3
Shimeng Huang · Niklas Pfister · Jack Bowden
|
Hall A-E 155 | |
|
Out-of-distribution robustness for multivariate analysis via causal regularisation
Poster Session 1
Homer Durand · Gherardo Varando · Nathan Mankovich · Gustau Camps-Valls
|
Hall A-E 155 | |
|
Enhanced Adaptive Gradient Algorithms for Nonconvex-PL Minimax Optimization
Poster Session 2
Feihu Huang · Chunyu Xuan · Xinrui Wang · Siqi Zhang · Songcan Chen
|
Hall A-E 150 | |
|
Training Neural Samplers with Reverse Diffusive KL Divergence
Poster Session 2
Jiajun He · Wenlin Chen · Mingtian Zhang · David Barber · Jose Miguel Hernandez-Lobato
|
Hall A-E 152 | |
|
Causal Temporal Regime Structure Learning
Poster Session 2
Abdellah Rahmani · Pascal Frossard
|
Hall A-E 40 | |
|
Ant Colony Sampling with GFlowNets for Combinatorial Optimization
Poster Session 2
Minsu Kim · Sanghyeok Choi · Hyeonah Kim · Jiwoo Son · Jinkyoo Park · Yoshua Bengio
|
Hall A-E 155 | |
|
Sampling from Bayesian Neural Network Posteriors with Symmetric Minibatch Splitting Langevin Dynamics
Poster Session 2
Daniel Paulin · Peter Whalley · Neil Chada · Benedict Leimkuhler
|
Hall A-E 168 | |
|
Task-Driven Discrete Representation Learning
Poster Session 3
Tung Long Vuong
|
Hall A-E 29 | |
|
Learning signals defined on graphs with optimal transport and Gaussian process regression
Poster Session 3
Raphael Carpintero Perez · Sébastien da Veiga · Josselin Garnier · Brian Staber
|
Hall A-E 162 | |
|
Infinite-Horizon Reinforcement Learning with Multinomial Logit Function Approximation
Poster Session 3
Jaehyun Park · Junyeop Kwon · Dabeen Lee
|
Hall A-E 164 | |
|
Pick-to-Learn and Self-Certified Gaussian Process Approximations
Poster Session 3
Daniel Marks · Dario Paccagnan
|
Hall A-E 1 | |
|
Variational Inference in Location-Scale Families: Exact Recovery of the Mean and Correlation Matrix
Poster Session 1
Charles Margossian · Lawrence Saul
|
Hall A-E 12 | |
|
Pick-to-Learn and Self-Certified Gaussian Process Approximations
Paper Awards Talks
Daniel Marks · Dario Paccagnan
|
Hall A-E 1 | |
|
Variational Inference in Location-Scale Families: Exact Recovery of the Mean and Correlation Matrix
Paper Awards Talks
Charles Margossian · Lawrence Saul
|
Hall A-E 12 | |
|
Empirical Error Estimates for Graph Sparsification
Poster Session 2
Siyao Wang · Miles Lopes
|
Hall A-E 191 | |
|
$f$-PO: Generalizing Preference Optimization with $f$-divergence Minimization
Poster Session 3
Jiaqi Han · Mingjian Jiang · Yuxuan Song · Stefano Ermon · Minkai Xu
|
Hall A-E 189 | |
|
The VampPrior Mixture Model
Poster Session 2
Andrew Stirn · David Knowles
|
Hall A-E 179 | |
|
Clustered Invariant Risk Minimization
Poster Session 3
Tomoya Murata · Atsushi Nitanda · Taiji Suzuki
|
Hall A-E 172 | |
|
Conditional diffusions for amortized neural posterior estimation
Poster Session 3
Tianyu Chen · Vansh Bansal · James Scott
|
Hall A-E 183 | |
|
Adversarially-Robust TD Learning with Markovian Data: Finite-Time Rates and Fundamental Limits
Poster Session 2
Sreejeet Maity · Aritra Mitra
|
Hall A-E 189 | |
|
Causal Discovery on Dependent Binary Data
Poster Session 2
Alex Chen · Qing Zhou
|
Hall A-E 177 | |
|
A graphical global optimization framework for parameter estimation of statistical models with nonconvex regularization functions
Poster Session 2
Danial Davarnia · Mohammadreza Kiaghadi
|
Hall A-E 161 | |
|
DDEQs: Distributional Deep Equilibrium Models through Wasserstein Gradient Flows
Poster Session 3
Jonathan Geuter · Clément Bonet · Anna Korba · David Alvarez-Melis
|
Hall A-E 175 | |
|
On the Consistent Recovery of Joint Distributions from Conditionals
Poster Session 3
Mahbod Majid · Rattana Pukdee · Vishwajeet Agrawal · Burak Varici · Pradeep Ravikumar
|
Hall A-E 94 | |
|
Noise-Aware Differentially Private Variational Inference
Poster Session 3
Talal Alrawajfeh · Joonas Jälkö · Antti Honkela
|
Hall A-E 167 | |
|
Learning High-dimensional Gaussians from Censored Data
Poster Session 3
Arnab Bhattacharyya · Constantinos Daskalakis · Themistoklis Gouleakis · Yuhao Wang
|
Hall A-E 171 |
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