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		Hall A-E 92
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		Hall A-E 173
SubSearch: Robust Estimation and Outlier Detection for Stochastic Block Models via Subgraph Search Poster Session 1 Leonardo Martins Bianco ⋅ Christine Keribin ⋅ Zacharie Naulet		Hall A-E 174
Hyperbolic Prototypical Entailment Cones for Image Classification Poster Session 3 Samuele Fonio ⋅ Roberto Esposito ⋅ Marco Aldinucci		Hall A-E 123
Double Debiased Machine Learning for Mediation Analysis with Continuous Treatments Poster Session 2 Houssam Zenati ⋅ Judith Abécassis ⋅ julie Josse ⋅ Bertrand Thirion		Hall A-E 102
ClusterSC: Advancing Synthetic Control with Donor Selection Poster Session 3 Saeyoung Rho ⋅ Andrew Tang ⋅ Noah Bergam ⋅ Rachel Cummings ⋅ Vishal Misra		Hall A-E 54
Information-Theoretic Causal Discovery in Topological Order Poster Session 1 Sascha Xu ⋅ Sarah Mameche ⋅ Jilles Vreeken		Hall A-E 40
Trustworthy assessment of heterogeneous treatment effect estimator via analysis of relative error Poster Session 3 Zijun Gao		Hall A-E 160
Model-Based Causal Feature Selection for General Response Types Poster Session 3 Lucas Kook		Hall A-E 198
Functional Stochastic Gradient MCMC for Bayesian Neural Networks Poster Session 1 Mengjing Wu ⋅ Junyu Xuan ⋅ Jie Lu		Hall A-E 81
FreqMoE: Enhancing Time Series Forecasting through Frequency Decomposition Mixture of Experts Poster Session 2 ziqi Liu		Hall A-E 87
Solving Estimating Equations With Copulas Poster Session 2 Thomas Nagler		Hall A-E 196
Bayesian Inference in Recurrent Explicit Duration Switching Linear Dynamical Systems Poster Session 2 Mikołaj Słupiński		Hall A-E 192
Stochastic Compositional Minimax Optimization with Provable Convergence Guarantees Poster Session 2 yuyang deng ⋅ Fuli Qiao ⋅ Mehrdad Mahdavi		Hall A-E 9
Sketch-and-Project Meets Newton Method: Global O(1/k^2) Convergence with Low-Rank Updates Poster Session 1 Slavomir Hanzely		Hall A-E 135
Algorithmic Accountability in Small Data: Sample-Size-Induced Bias Within Classification Metrics Poster Session 3 Jarren Briscoe ⋅ Garrett Kepler ⋅ Daryl DeFord ⋅ Assefaw Gebremedhin		Hall A-E 30
Change Point Detection in Hadamard Spaces by Alternating Minimization Poster Session 3 Anica Kostic ⋅ Vincent Runge ⋅ Charles Truong		Hall A-E 79
Infinite Width Limits of Self Supervised Neural Networks Poster Session 2 Maximilian Fleissner ⋅ Gautham Anil ⋅ Debarghya Ghoshdastidar		Hall A-E 54
Post-processing for Fair Regression via Explainable SVD Poster Session 3 Zhiqun Zuo ⋅ Ding Zhu ⋅ Mahed Abroshan		Hall A-E 66
A kernel Stein test for comparing latent variable models Poster Session 2 Heishiro Kanagawa		Hall A-E 194
Koopman-Equivariant Gaussian Processes Poster Session 3 Petar Bevanda ⋅ Max Beier ⋅ Alexandre Capone ⋅ Stefan Sosnowski ⋅ Sandra Hirche ⋅ Armin Lederer		Hall A-E 161
Riemann$^2$: Learning Riemannian Submanifolds from Riemannian Data Poster Session 2 Leonel Rozo ⋅ Miguel González-Duque ⋅ Noémie Jaquier ⋅ Soren Hauberg		Hall A-E 67
Decomposing Global Feature Effects Based on Feature Interactions Poster Session 2 Julia Herbinger		Hall A-E 193
Learning Graph Node Embeddings by Smooth Pair Sampling Poster Session 1 Konstantin Kutzkov		Hall A-E 4
Training LLMs with MXFP4 Poster Session 1 Albert Tseng ⋅ Tao Yu ⋅ Youngsuk Park		Hall A-E 126
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
Adversarial Training in High-Dimensional Regression: Generated Data and Neural Networks Poster Session 3 Yue Xing		Hall A-E 46
Towards Cost Sensitive Decision Making Poster Session 1 Yang Li ⋅ Junier Oliva		Hall A-E 94
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
Efficient Estimation of a Gaussian Mean with Local Differential Privacy Poster Session 1 Nikita Kalinin ⋅ Lukas Steinberger		Hall A-E 137
On Preference-based Stochastic Linear Contextual Bandits with Knapsacks Poster Session 1 Xin Liu		Hall A-E 138
Task-Driven Discrete Representation Learning Poster Session 3 Tung Long Vuong		Hall A-E 29
Infinite-Horizon Reinforcement Learning with Multinomial Logit Function Approximation Poster Session 3 Jaehyun Park ⋅ Junyeop Kwon ⋅ Dabeen Lee		Hall A-E 164
Bayesian Off-Policy Evaluation and Learning for Large Action Spaces Poster Session 1 Imad Aouali ⋅ Victor-Emmanuel Brunel ⋅ David Rohde ⋅ Anna Korba		Hall A-E 58
Bayesian Principles Improve Prompt Learning In Vision-Language Models Poster Session 1 Mingyu Kim ⋅ Jongwoo Ko ⋅ Mijung Park		Hall A-E 164
Learning Geometrically-Informed Lyapunov Functions with Deep Diffeomorphic RBF Networks Poster Session 3 Samuel Tesfazgi ⋅ Leonhard Sprandl ⋅ Sandra Hirche		Hall A-E 23
Permutation Invariant Functions: Statistical Testing, Density Estimation, and Metric Entropy Poster Session 3 Wee Chaimanowong ⋅ Ying Zhu		Hall A-E 37
Posterior Mean Matching: Generative Modeling through Online Bayesian Inference Poster Session 2 Sebastian Salazar ⋅ Michal Kucer ⋅ Yixin Wang ⋅ Emily Casleton ⋅ David Blei		Hall A-E 69
Hyperboloid GPLVM for Discovering Continuous Hierarchies via Nonparametric Estimation Poster Session 2 Koshi Watanabe ⋅ Keisuke Maeda ⋅ Takahiro Ogawa ⋅ Miki Haseyama		Hall A-E 49
HACSurv: A Hierarchical Copula-Based Approach for Survival Analysis with Dependent Competing Risks Poster Session 1 Xin Liu ⋅ Weijia Zhang ⋅ Min-Ling Zhang		Hall A-E 97
The Uniformly Rotated Mondrian Kernel Poster Session 3 Calvin Osborne ⋅ Eliza O'Reilly		Hall A-E 168
MEDUSA: Medical Data Under Shadow Attacks via Hybrid Model Inversion Poster Session 1 Asfandyar Azhar ⋅ Paul Thielen ⋅ Curtis Langlotz		Hall A-E 57
Hybrid Transfer Reinforcement Learning: Provable Sample Efficiency from Shifted-Dynamics Data Poster Session 1 Chengrui Qu ⋅ Laixi Shi ⋅ Kishan Panaganti ⋅ Pengcheng You ⋅ Adam Wierman		Hall A-E 14
Approximate Equivariance in Reinforcement Learning Poster Session 1 Jung Yeon Park ⋅ Sujay Bhatt ⋅ Sihan Zeng ⋅ Lawson Wong ⋅ Alec Koppel ⋅ Sumitra Ganesh ⋅ Robin Walters		Hall A-E 205
Multi-Player Approaches for Dueling Bandits Poster Session 1 Or Raveh ⋅ Junya Honda ⋅ Masashi Sugiyama		Hall A-E 106
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		Hall A-E 36
A Shared Low-Rank Adaptation Approach to Personalized RLHF Poster Session 1 Renpu Liu ⋅ Peng Wang ⋅ Donghao Li ⋅ Cong Shen ⋅ Jing Yang		Hall A-E 162
Semiparametric conformal prediction Poster Session 1 Ji Won Park ⋅ Kyunghyun Cho		Hall A-E 83
Sampling in High-Dimensions using Stochastic Interpolants and Forward-Backward Stochastic Differential Equations Poster Session 1 Anand Jerry George ⋅ Nicolas Macris		Hall A-E 165
Minimum Empirical Divergence for Sub-Gaussian Linear Bandits Poster Session 1 Kapilan Balagopalan ⋅ Kwang-Sung Jun		Hall A-E 166
Memory-Efficient Optimization with Factorized Hamiltonian Descent Poster Session 2 Son Nguyen ⋅ Lizhang Chen ⋅ Bo Liu ⋅ qiang liu		Hall A-E 19
Deeply supervised Nets Paper Awards Talks Chen-Yu Lee ⋅ Saining Xie ⋅ Patrick Gallagher ⋅ Zhengyou Zhang ⋅ Zhuowen Tu
Fast Convergence of Softmax Policy Mirror Ascent Poster Session 1 Reza Asad ⋅ Reza Babanezhad ⋅ Issam Hadj Laradji ⋅ Nicolas Le Roux ⋅ Sharan Vaswani		Hall A-E 113
Bayesian Gaussian Process ODEs via Double Normalizing Flows Poster Session 1 jian xu ⋅ Shian Du ⋅ Junmei Yang ⋅ Xinghao Ding ⋅ Delu Zeng ⋅ John Paisley		Hall A-E 187
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		Hall A-E 72
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		Hall A-E 98
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		Hall A-E 138
posteriordb: Testing, Benchmarking and Developing Bayesian Inference Algorithms Poster Session 3 Måns Magnusson ⋅ Jakob Torgander ⋅ Paul Bürkner ⋅ Lu Zhang ⋅ Bob Carpenter ⋅ Aki Vehtari		Hall A-E 9
Signature Isolation Forest Poster Session 1 Marta Campi ⋅ Guillaume Staerman ⋅ Gareth Peters ⋅ Tomoko Masui		Hall A-E 167
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		Hall A-E 121
Restructuring Tractable Probabilistic Circuits Poster Session 3 Honghua Zhang ⋅ Benjie Wang ⋅ Marcelo Arenas ⋅ Guy Van den Broeck		Hall A-E 12
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		Hall A-E 118
Best-Arm Identification in Unimodal Bandits Poster Session 3 Riccardo Poiani ⋅ Marc Jourdan ⋅ Emilie Kaufmann ⋅ Rémy Degenne		Hall A-E 181
Corruption Robust Offline Reinforcement Learning with Human Feedback Poster Session 3 Debmalya Mandal ⋅ Andi Nika ⋅ Parameswaran Kamalaruban ⋅ Adish Singla ⋅ Goran Radanovic		Hall A-E 34
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		Hall A-E 118
Poisoning Bayesian Inference via Data Deletion and Replication Poster Session 2 Matthieu Carreau ⋅ Roi Naveiro ⋅ William Caballero		Hall A-E 38
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		Hall A-E 120
Nonparametric Distributional Regression via Quantile Regression Poster Session 3 Cheng Peng ⋅ Stan Uryasev		Hall A-E 99
Information-Theoretic Measures on Lattices for Higher-Order Interactions Poster Session 1 Zhaolu Liu ⋅ Mauricio Barahona ⋅ Robert Peach		Hall A-E 91
Risk-sensitive Bandits: Arm Mixture Optimality and Regret-efficient Algorithms Poster Session 1 Meltem Tatlı ⋅ Arpan Mukherjee ⋅ Prashanth L.A. ⋅ Karthikeyan Shanmugam ⋅ Ali Tajer		Hall A-E 172
Synthetic Potential Outcomes and Causal Mixture Identifiability Poster Session 2 Bijan Mazaheri ⋅ Chandler Squires ⋅ Caroline Uhler		Hall A-E 77
Analyzing the Role of Permutation Invariance in Linear Mode Connectivity Poster Session 1 Keyao Zhan ⋅ Puheng Li ⋅ Lei Wu		Hall A-E 134
Axiomatic Explainer Globalness via Optimal Transport Poster Session 2 Davin Hill ⋅ Joshua Bone ⋅ Aria Masoomi ⋅ Max Torop ⋅ Jennifer Dy		Hall A-E 145
Two-Timescale Linear Stochastic Approximation: Constant Stepsizes Go a Long Way Poster Session 3 Jeongyeol Kwon ⋅ Luke Dotson ⋅ Yudong Chen ⋅ Qiaomin Xie		Hall A-E 55
Bridging the Theoretical Gap in Randomized Smoothing Poster Session 1 Blaise Delattre ⋅ Paul Caillon ⋅ Quentin Barthélemy ⋅ Erwan Fagnou ⋅ Alexandre Allauzen		Hall A-E 41
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		Hall A-E 43
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		Hall A-E 58
Subspace Recovery in Winsorized PCA: Insights into Accuracy and Robustness Poster Session 2 Sangil Han ⋅ Kyoowon Kim ⋅ Sungkyu Jung		Hall A-E 200
Synthesis and Analysis of Data as Probability Measures With Entropy-Regularized Optimal Transport Poster Session 3 Brendan Mallery ⋅ James Murphy ⋅ Shuchin Aeron		Hall A-E 137
Multi-agent Multi-armed Bandit Regret Complexity and Optimality Poster Session 3 Mengfan Xu ⋅ Diego Klabjan		Hall A-E 68
Anytime-Valid A/B Testing of Counting Processes Poster Session 3 Michael Lindon ⋅ Nathan Kallus		Hall A-E 28
Distance Estimation for High-Dimensional Discrete Distributions Poster Session 2 Kuldeep S. Meel ⋅ Gunjan Kumar ⋅ Yash Pote		Hall A-E 171
Mixed-Feature Logistic Regression Robust to Distribution Shifts Poster Session 2 Qingshi Sun ⋅ Nathan Justin ⋅ Andres Gomez ⋅ Phebe Vayanos		Hall A-E 74
On Local Posterior Structure in Deep Ensembles Poster Session 1 Mikkel Jordahn ⋅ Jonas Vestergaard Jensen ⋅ Mikkel Schmidt ⋅ Michael Andersen		Hall A-E 109
Learning a Single Index Model from Anisotropic Data with Vanilla Stochastic Gradient Descent Poster Session 1 Guillaume Braun ⋅ Minh Ha Quang ⋅ Masaaki Imaizumi		Hall A-E 117
Harnessing the Power of Vicinity-Informed Analysis for Classification under Covariate Shift Poster Session 1 Mitsuhiro Fujikawa ⋅ Youhei Akimoto ⋅ Jun Sakuma ⋅ Kazuto Fukuchi		Hall A-E 27
On adaptivity and minimax optimality of two-sided nearest neighbors Poster Session 3 Tathagata Sadhukhan ⋅ Manit Paul ⋅ Raaz Dwivedi		Hall A-E 135
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		Hall A-E 133
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		Hall A-E 123
Learning to Negotiate via Voluntary Commitment Poster Session 1 Shuhui Zhu ⋅ Baoxiang Wang ⋅ Sriram Ganapathi Subramanian ⋅ Pascal Poupart		Hall A-E 47
Gated Recurrent Neural Networks with Weighted Time-Delay Feedback Poster Session 2 N. Benjamin Erichson ⋅ Soon Hoe Lim ⋅ Michael Mahoney		Hall A-E 55
Variational Adversarial Training Towards Policies with Improved Robustness Poster Session 1 Juncheng Dong ⋅ Hao-Lun Hsu ⋅ Qitong Gao ⋅ Vahid Tarokh ⋅ Miroslav Pajic		Hall A-E 195
Global Ground Metric Learning with Applications to scRNA data Poster Session 1 Damin Kühn ⋅ Michael Schaub		Hall A-E 22
Heterogeneous Graph Structure Learning through the Lens of Data-generating Processes Poster Session 1 Keyue Jiang ⋅ Bohan Tang ⋅ Xiaowen Dong ⋅ Laura Toni		Hall A-E 123
Batch, match, and patch: low-rank approximations for score-based variational inference Poster Session 2 Chirag Modi ⋅ Diana Cai ⋅ Lawrence Saul		Hall A-E 79
Sampling From Multiscale Densities With Delayed Rejection Generalized Hamiltonian Monte Carlo Poster Session 3 Gilad Turok ⋅ Chirag Modi ⋅ Bob Carpenter		Hall A-E 143
Multi-marginal Schrödinger Bridges with Iterative Reference Refinement Poster Session 1 Yunyi Shen ⋅ Renato Berlinghieri ⋅ Tamara Broderick		Hall A-E 11
Calibrated Computation-Aware Gaussian Processes Poster Session 2 Disha Hegde ⋅ Mohamed Adil ⋅ Jon Cockayne		Hall A-E 156
Robust Classification by Coupling Data Mollification with Label Smoothing Poster Session 2 Markus Heinonen ⋅ Ba-Hien Tran ⋅ Michael Kampffmeyer ⋅ Maurizio Filippone		Hall A-E 96
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		Hall A-E 4
Distributional Adversarial Loss Poster Session 1 Saba Ahmadi ⋅ Siddharth Bhandari ⋅ Avrim Blum ⋅ Chen Dan ⋅ Prabhav Jain		Hall A-E 33
Testing Conditional Independence with Deep Neural Network Based Binary Expansion Testing (DeepBET) Poster Session 2 Yang Yang ⋅ Kai Zhang ⋅ Ping-Shou Zhong		Hall A-E 197
Locally Private Sampling with Public Data Poster Session 1 Behnoosh Zamanlooy ⋅ Mario Diaz ⋅ Shahab Asoodeh		Hall A-E 60
Robust Score Matching Poster Session 1 Richard Schwank ⋅ Andrew McCormack ⋅ Mathias Drton		Hall A-E 55
Legitimate ground-truth-free metrics for deep uncertainty classification scoring Poster Session 1 Arthur Pignet ⋅ Chiara Regniez ⋅ John Klein		Hall A-E 177
Beyond Size-Based Metrics: Measuring Task-Specific Complexity in Symbolic Regression Poster Session 3 Krzysztof Kacprzyk ⋅ Mihaela van der Schaar		Hall A-E 120
Conformal Prediction Under Generalized Covariate Shift with Posterior Drift Poster Session 3 Baozhen Wang ⋅ Xingye Qiao		Hall A-E 75
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		Hall A-E 163
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		Hall A-E 144
Max-Rank: Efficient Multiple Testing for Conformal Prediction Poster Session 2 Alexander Timans ⋅ Christoph-Nikolas Straehle ⋅ Kaspar Sakmann ⋅ Christian Andersson Naesseth ⋅ Eric Nalisnick		Hall A-E 13
Revisiting LocalSGD and SCAFFOLD: Improved Rates and Missing Analysis Poster Session 2 Ruichen Luo ⋅ Sebastian Stich ⋅ Samuel Horvath ⋅ Martin Takac		Hall A-E 59
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		Hall A-E 188
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		Hall A-E 186
Bayesian Circular Regression with von Mises Quasi-Processes Poster Session 2 Yarden Cohen ⋅ Alexandre Wu Navarro ⋅ Jes Frellsen ⋅ Richard Turner ⋅ Raziel Riemer ⋅ Ari Pakman		Hall A-E 15
On Subjective Uncertainty Quantification and Calibration in Natural Language Generation Poster Session 1 Ziyu Wang ⋅ Chris Holmes		Hall A-E 203
Statistical Guarantees for Unpaired Image-to-Image Cross-Domain Analysis using GANs Poster Session 3 Saptarshi Chakraborty ⋅ Peter Bartlett		Hall A-E 163
LITE: Efficiently Estimating Gaussian Probability of Maximality Poster Session 2 Nicolas Menet ⋅ Jonas Hübotter ⋅ Parnian Kassraie ⋅ Andreas Krause		Hall A-E 130
The Sample Complexity of Stackelberg Games Poster Session 2 Francesco Bacchiocchi ⋅ Matteo Bollini ⋅ Matteo Castiglioni ⋅ Alberto Marchesi ⋅ Nicola Gatti		Hall A-E 88
On the Relationship Between Robustness and Expressivity of Graph Neural Networks Poster Session 2 Lorenz Kummer ⋅ Wilfried Gansterer ⋅ Nils Kriege		Hall A-E 140
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		Hall A-E 132
Almost linear time differentially private release of synthetic graphs Poster Session 1 Zongrui Zou ⋅ Jingcheng Liu ⋅ Jalaj Upadhyay		Hall A-E 10
Active Feature Acquisition for Personalised Treatment Assignment Poster Session 3 Julianna Piskorz ⋅ Nicolás Astorga ⋅ Jeroen Berrevoets ⋅ Mihaela van der Schaar		Hall A-E 159
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		Hall A-E 9
Stein Boltzmann Sampling: A Variational Approach for Global Optimization Poster Session 2 Gaëtan Serré ⋅ Argyris Kalogeratos ⋅ Nicolas Vayatis		Hall A-E 143
Multimodal Learning with Uncertainty Quantification based on Discounted Belief Fusion Poster Session 2 Grigor Bezirganyan ⋅ Sana Sellami ⋅ Laure Berti-Equille ⋅ Sébastien Fournier		Hall A-E 119
Tamed Langevin sampling under weaker conditions Poster Session 2 Iosif Lytras ⋅ Panayotis Mertikopoulos		Hall A-E 32
On the Computational Tractability of the (Many) Shapley Values Poster Session 1 Reda Marzouk ⋅ Shahaf Bassan ⋅ Guy Katz ⋅ De la Higuera		Hall A-E 190
Cross Validation for Correlated Data in Classification Models Poster Session 2 Oren Yuval ⋅ Saharon Rosset		Hall A-E 190
Deep Clustering via Probabilistic Ratio-Cut Optimization Poster Session 1 Ayoub Ghriss ⋅ Claire Monteleoni		Hall A-E 158
Consistent Amortized Clustering via Generative Flow Networks Poster Session 2 Irit Chelly ⋅ Roy Uziel ⋅ Oren Freifeld ⋅ Ari Pakman		Hall A-E 111
Calm Composite Losses: Being Improper Yet Proper Composite Poster Session 2 Han Bao ⋅ Nontawat Charoenphakdee		Hall A-E 186
Differentially Private Continual Release of Histograms and Related Queries Poster Session 1 Monika Henzinger ⋅ A. R. Sricharan ⋅ Teresa Steiner		Hall A-E 50
Efficient Trajectory Inference in Wasserstein Space Using Consecutive Averaging Poster Session 3 Amartya Banerjee ⋅ Lee ⋅ Nir Sharon ⋅ Caroline Moosmüller		Hall A-E 184
Partial Information Decomposition for Data Interpretability and Feature Selection Poster Session 2 Charles Westphal ⋅ Stephen Hailes ⋅ Mirco Musolesi		Hall A-E 151
Distribution-Aware Mean Estimation under User-level Local Differential Privacy Poster Session 1 Corentin Pla ⋅ Maxime Vono ⋅ Hugo Richard		Hall A-E 107
QuACK: A Multipurpose Queuing Algorithm for Cooperative $k$-Armed Bandits Poster Session 1 Benjamin Howson ⋅ Sarah Filippi ⋅ Ciara Pike-Burke		Hall A-E 64
Cost-Aware Optimal Pairwise Pure Exploration Poster Session 3 Di Wu ⋅ Chengshuai Shi ⋅ Ruida Zhou ⋅ Cong Shen		Hall A-E 83
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		Hall A-E 96
Tight Analysis of Difference-of-Convex Algorithm (DCA) Improves Convergence Rates for Proximal Gradient Descent Poster Session 2 Teodor Rotaru ⋅ Panagiotis Patrinos ⋅ François Glineur		Hall A-E 86
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		Hall A-E 119
SNAP: Sequential Non-Ancestor Pruning for Targeted Causal Effect Estimation With an Unknown Graph Poster Session 2 Mátyás Schubert ⋅ Tom Claassen ⋅ Sara Magliacane		Hall A-E 10
LMEraser: Large Model Unlearning via Adaptive Prompt Tuning Poster Session 1 Jie Xu ⋅ Zihan Wu ⋅ Cong Wang ⋅ Xiaohua Jia		Hall A-E 149
Clustering Context in Off-Policy Evaluation Poster Session 2 Daniel Guzmán Olivares ⋅ Philipp Schmidt ⋅ Jacek Golebiowski ⋅ Artur Bekasov		Hall A-E 76
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		Hall A-E 182
Kernel Single Proxy Control for Deterministic Confounding Poster Session 2 Liyuan Xu ⋅ Arthur Gretton		Hall A-E 117
Data Reconstruction Attacks and Defenses: A Systematic Evaluation Poster Session 2 Sheng Liu ⋅ Zihan Wang ⋅ Yuxiao Chen ⋅ Qi Lei		Hall A-E 141
Cost-aware simulation-based inference Poster Session 2 Ayush Bharti ⋅ Daolang Huang ⋅ Samuel Kaski ⋅ Francois-Xavier Briol		Hall A-E 205
Signal Recovery from Random Dot-Product Graphs under Local Differential Privacy Poster Session 1 Siddharth Vishwanath ⋅ Jonathan Hehir		Hall A-E 56
Feasible Learning Poster Session 1 Juan Ramirez ⋅ Ignacio Hounie ⋅ Juan Elenter ⋅ Jose Gallego-Posada ⋅ Meraj Hashemizadeh ⋅ Alejandro Ribeiro ⋅ Simon Lacoste-Julien		Hall A-E 7
Score matching for bridges without learning time-reversals Poster Session 2 Elizabeth Baker ⋅ Moritz Schauer ⋅ Stefan Sommer		Hall A-E 53
Sequential Kernelized Stein Discrepancy Poster Session 3 Diego Martinez-Taboada ⋅ Aaditya Ramdas		Hall A-E 173
Estimation of Large Zipfian Distributions with Sort and Snap Poster Session 1 Peter Jacobs ⋅ Anirban Bhattacharya ⋅ Debdeep Pati ⋅ Lekha Patel ⋅ Jeff Phillips		Hall A-E 19
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		Hall A-E 89
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
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
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
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
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 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
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
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
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
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
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
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
On Distributional Discrepancy for Experimental Design with General Assignment Probabilities Poster Session 3 Anup Rao ⋅ Peng Zhang		Hall A-E 7
The Pivoting Framework: Frank-Wolfe Algorithms with Active Set Size Control Poster Session 2 Mathieu Besançon ⋅ Sebastian Pokutta ⋅ Elias Wirth		Hall A-E 201
Additive Model Boosting: New Insights and Path(ologie)s Poster Session 3 Rickmer Schulte ⋅ David Rügamer		Hall A-E 10
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
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
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
Offline Multi-task Transfer RL with Representational Penalization Poster Session 1 Avinandan Bose ⋅ Simon Du ⋅ Maryam Fazel		Hall A-E 17
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
Generalized Criterion for Identifiability of Additive Noise Models Using Majorization Poster Session 2 Aramayis Dallakyan ⋅ Yang Ni		Hall A-E 11
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
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
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
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
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
Global Group Fairness in Federated Learning via Function Tracking Poster Session 3 Yves Rychener ⋅ Daniel Kuhn ⋅ Yifan Hu		Hall A-E 127
Large Covariance Matrix Estimation With Nonnegative Correlations Poster Session 2 Yixin Yan ⋅ QIAO YANG ⋅ Ziping Zhao		Hall A-E 134
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
Adaptive Convergence Rates for Log-Concave Maximum Likelihood Poster Session 3 Gil Kur ⋅ Aditya Guntuboyina		Hall A-E 130
On Tractability of Learning Bayesian Networks with Ancestral Constraints Poster Session 2 Juha Harviainen ⋅ Pekka Parviainen		Hall A-E 136
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
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
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