AISTATS 2025 Conference Submissions

Reinforcement Learning for Infinite-Horizon Average-Reward Linear MDPs via Approximation by Discounted-Reward MDPs
Kihyuk Hong, Woojin Chae, Yufan Zhang, Dabeen Lee, Ambuj Tewari
- Published: 22 Jan 2025, Last Modified: 06 Mar 2025
- AISTATS 2025 Poster
- Readers: Everyone
Sampling in High-Dimensions using Stochastic Interpolants and Forward-Backward Stochastic Differential Equations
Anand Jerry George, Nicolas Macris
- Published: 22 Jan 2025, Last Modified: 08 Mar 2025
- AISTATS 2025 Poster
- Readers: Everyone
Multi-level Advantage Credit Assignment for Cooperative Multi-Agent Reinforcement Learning
Xutong Zhao, Yaqi Xie
- Published: 22 Jan 2025, Last Modified: 23 Apr 2025
- AISTATS 2025 Poster
- Readers: Everyone
Variational Combinatorial Sequential Monte Carlo for Bayesian Phylogenetics in Hyperbolic Space
Alex Chen, Philippe Chlenski, Kenneth Munyuza, Antonio Khalil Moretti, Christian A. Naesseth, Itsik Pe'er
- Published: 22 Jan 2025, Last Modified: 06 Mar 2025
- AISTATS 2025 Poster
- Readers: Everyone
New User Event Prediction Through the Lens of Causal Inference
Henry Yuchi, Shixiang Zhu, Li Dong, Yigit M. Arisoy, Matthew C. Spencer
- Published: 22 Jan 2025, Last Modified: 11 Mar 2025
- AISTATS 2025 Poster
- Readers: Everyone
Understanding Inverse Reinforcement Learning under Overparameterization: Non-Asymptotic Analysis and Global Optimality
Ruijia Zhang, Siliang Zeng, Chenliang Li, Alfredo Garcia, Mingyi Hong
- Published: 22 Jan 2025, Last Modified: 22 Apr 2025
- AISTATS 2025 Poster
- Readers: Everyone
Decision-Point Guided Safe Policy Improvement
Abhishek Sharma, Leo Benac, Sonali Parbhoo, Finale Doshi-Velez
- Published: 22 Jan 2025, Last Modified: 10 Mar 2025
- AISTATS 2025 Poster
- Readers: Everyone
Transfer Learning for High-dimensional Reduced Rank Time Series Models
Mingliang Ma, Abolfazl Safikhani
- Published: 22 Jan 2025, Last Modified: 06 Mar 2025
- AISTATS 2025 Poster
- Readers: Everyone
Recurrent Neural Goodness-of-Fit Test for Time Series
Aoran Zhang, Wenbin Zhou, Liyan Xie, Shixiang Zhu
- Published: 22 Jan 2025, Last Modified: 15 Apr 2025
- AISTATS 2025 Poster
- Readers: Everyone
Permutation Invariant Functions: Statistical Testing, Density Estimation, and Metric Entropy
Wee Chaimanowong, Ying Zhu
- Published: 22 Jan 2025, Last Modified: 08 Mar 2025
- AISTATS 2025 Poster
- Readers: Everyone
Decoupling epistemic and aleatoric uncertainties with possibility theory
Nong Minh Hieu, Jeremie Houssineau, Neil K. Chada, Emmanuel Delande
- Published: 22 Jan 2025, Last Modified: 11 Mar 2025
- AISTATS 2025 Poster
- Readers: Everyone
On Preference-based Stochastic Linear Contextual Bandits with Knapsacks
Xin Liu
- Published: 22 Jan 2025, Last Modified: 10 Mar 2025
- AISTATS 2025 Poster
- Readers: Everyone
Is Gibbs sampling faster than Hamiltonian Monte Carlo on GLMs?
Son Luu, Zuheng Xu, Nikola Surjanovic, Miguel Biron-Lattes, Trevor Campbell, Alexandre Bouchard-Cote
- Published: 22 Jan 2025, Last Modified: 22 Apr 2025
- AISTATS 2025 Poster
- Readers: Everyone
Computing high-dimensional optimal transport by flow neural networks
Chen Xu, Xiuyuan Cheng, Yao Xie
- Published: 22 Jan 2025, Last Modified: 08 Mar 2025
- AISTATS 2025 Poster
- Readers: Everyone
Memory-Efficient Optimization with Factorized Hamiltonian Descent
Son Nguyen, Lizhang Chen, Bo Liu, qiang liu
- Published: 22 Jan 2025, Last Modified: 11 Mar 2025
- AISTATS 2025 Poster
- Readers: Everyone
Quantifying the Optimization and Generalization Advantages of Graph Neural Networks Over Multilayer Perceptrons
Wei Huang, Yuan Cao, Haonan Wang, Xin Cao, Taiji Suzuki
- Published: 22 Jan 2025, Last Modified: 09 Mar 2025
- AISTATS 2025 Poster
- Readers: Everyone
Evidential Uncertainty Probes for Graph Neural Networks
Linlin Yu, Kangshuo Li, Pritom Kumar Saha, Yifei Lou, Feng Chen
- Published: 22 Jan 2025, Last Modified: 15 Apr 2025
- AISTATS 2025 Poster
- Readers: Everyone
A Tight Regret Analysis of Non-Parametric Repeated Contextual Brokerage
François Bachoc, Tommaso Cesari, Roberto Colomboni
- Published: 22 Jan 2025, Last Modified: 08 Mar 2025
- AISTATS 2025 Poster
- Readers: Everyone
Protein Fitness Landscape: Spectral Graph Theory Perspective
Hao Zhu, Daniel M. Steinberg, Piotr Koniusz
- Published: 22 Jan 2025, Last Modified: 11 Mar 2025
- AISTATS 2025 Poster
- Readers: Everyone
Approximate Global Convergence of Independent Learning in Multi-Agent Systems
Ruiyang Jin, Zaiwei Chen, Yiheng Lin, Jie Song, Adam Wierman
- Published: 22 Jan 2025, Last Modified: 11 Mar 2025
- AISTATS 2025 Poster
- Readers: Everyone
Optimistic Safety for Online Convex Optimization with Unknown Linear Constraints
Spencer Hutchinson, Tianyi Chen, Mahnoosh Alizadeh
- Published: 22 Jan 2025, Last Modified: 06 Mar 2025
- AISTATS 2025 Poster
- Readers: Everyone
Calm Composite Losses: Being Improper Yet Proper Composite
Han Bao, Nontawat Charoenphakdee
- Published: 22 Jan 2025, Last Modified: 10 Mar 2025
- AISTATS 2025 Poster
- Readers: Everyone
Statistical Learning of Distributionally Robust Stochastic Control in Continuous State Spaces
Shengbo Wang, Nian Si, Jose Blanchet, Zhengyuan Zhou
- Published: 22 Jan 2025, Last Modified: 23 Apr 2025
- AISTATS 2025 Oral
- Readers: Everyone
A Safe Bayesian Learning Algorithm for Constrained MDPs with Bounded Constraint Violation
Krishna C Kalagarla, Rahul Jain, Pierluigi Nuzzo
- Published: 22 Jan 2025, Last Modified: 11 Mar 2025
- AISTATS 2025 Poster
- Readers: Everyone
Causal Discovery on Dependent Binary Data
Alex Chen, Qing Zhou
- Published: 22 Jan 2025, Last Modified: 09 Mar 2025
- AISTATS 2025 Poster
- Readers: Everyone