AISTATS 2025 Accepted Papers

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