AISTATS 2025 Conference Submissions

Learning Geometrically-Informed Lyapunov Functions with Deep Diffeomorphic RBF Networks
Samuel Tesfazgi, Leonhard Sprandl, Sandra Hirche
- Published: 22 Jan 2025, Last Modified: 10 Mar 2025
- AISTATS 2025 Poster
- Readers: Everyone
Semiparametric conformal prediction
Ji Won Park, Kyunghyun Cho
- Published: 22 Jan 2025, Last Modified: 11 Mar 2025
- AISTATS 2025 Poster
- Readers: Everyone
Risk-sensitive Bandits: Arm Mixture Optimality and Regret-efficient Algorithms
Meltem Tatlı, Arpan Mukherjee, Prashanth L. A., Karthikeyan Shanmugam, Ali Tajer
- Published: 22 Jan 2025, Last Modified: 21 Mar 2025
- AISTATS 2025 Poster
- Readers: Everyone
InnerThoughts: Disentangling Representations and Predictions in Large Language Models
Didier Chételat, Joseph Cotnareanu, Rylee Thompson, Yingxue Zhang, Mark Coates
- Published: 22 Jan 2025, Last Modified: 11 Mar 2025
- AISTATS 2025 Poster
- Readers: Everyone
Adapting to Online Distribution Shifts in Deep Learning: A Black-Box Approach
Dheeraj Baby, Boran Han, Shuai Zhang, Cuixiong Hu, Bernie Wang, Yu-Xiang Wang
- Published: 22 Jan 2025, Last Modified: 09 Mar 2025
- AISTATS 2025 Poster
- Readers: Everyone
Tighter Confidence Bounds for Sequential Kernel Regression
Hamish Flynn, David Reeb
- Published: 22 Jan 2025, Last Modified: 10 Mar 2025
- AISTATS 2025 Poster
- Readers: Everyone
Stochastic Compositional Minimax Optimization with Provable Convergence Guarantees
Yuyang Deng, Fuli Qiao, Mehrdad Mahdavi
- Published: 22 Jan 2025, Last Modified: 11 Mar 2025
- AISTATS 2025 Poster
- Readers: Everyone
RTD-Lite: Scalable Topological Analysis for Comparing Weighted Graphs in Learning Tasks
Eduard Tulchinskii, Daria Voronkova, Ilya Trofimov, Evgeny Burnaev, Serguei Barannikov
- Published: 22 Jan 2025, Last Modified: 23 Apr 2025
- AISTATS 2025 Poster
- Readers: Everyone
Multi-marginal Schrödinger Bridges with Iterative Reference Refinement
Yunyi Shen, Renato Berlinghieri, Tamara Broderick
- Published: 22 Jan 2025, Last Modified: 15 Apr 2025
- AISTATS 2025 Oral
- Readers: Everyone
Primal-Dual Spectral Representation for Off-policy Evaluation
Yang Hu, Tianyi Chen, Na Li, Kai Wang, Bo Dai
- Published: 22 Jan 2025, Last Modified: 08 Mar 2025
- AISTATS 2025 Poster
- Readers: Everyone
On Subjective Uncertainty Quantification and Calibration in Natural Language Generation
Ziyu Wang, Christopher C. Holmes
- Published: 22 Jan 2025, Last Modified: 09 Mar 2025
- AISTATS 2025 Poster
- Readers: Everyone
Your copula is a classifier in disguise: classification-based copula density estimation
David Huk, Mark Steel, Ritabrata Dutta
- Published: 22 Jan 2025, Last Modified: 09 Mar 2025
- AISTATS 2025 Poster
- Readers: Everyone
Two-Timescale Linear Stochastic Approximation: Constant Stepsizes Go a Long Way
Jeongyeol Kwon, Luke Dotson, Yudong Chen, Qiaomin Xie
- Published: 22 Jan 2025, Last Modified: 08 Mar 2025
- AISTATS 2025 Poster
- Readers: Everyone
SemlaFlow -- Efficient 3D Molecular Generation with Latent Attention and Equivariant Flow Matching
Ross Irwin, Alessandro Tibo, Jon Paul Janet, Simon Olsson
- Published: 22 Jan 2025, Last Modified: 06 Mar 2025
- AISTATS 2025 Poster
- Readers: Everyone
Scalable Out-of-Distribution Robustness in the Presence of Unobserved Confounders
Parjanya Prajakta Prashant, Seyedeh Baharan Khatami, Bruno Ribeiro, Babak Salimi
- Published: 22 Jan 2025, Last Modified: 11 Mar 2025
- AISTATS 2025 Poster
- Readers: Everyone
Causal Discovery-Driven Change Point Detection in Time Series
Shanyun Gao, Raghavendra Addanki, Tong Yu, Ryan A. Rossi, Murat Kocaoglu
- Published: 22 Jan 2025, Last Modified: 11 Mar 2025
- AISTATS 2025 Poster
- Readers: Everyone
Copula Based Trainable Calibration Error Estimator of Multi-Label Classification with Label Interdependencies
Arkapal Panda, Utpal Garain
- Published: 22 Jan 2025, Last Modified: 11 Mar 2025
- AISTATS 2025 Poster
- Readers: Everyone
Kernel Single Proxy Control for Deterministic Confounding
Liyuan Xu, Arthur Gretton
- Published: 22 Jan 2025, Last Modified: 19 Mar 2025
- AISTATS 2025 Poster
- Readers: Everyone
Learning Visual-Semantic Subspace Representations
Gabriel Moreira, Manuel Marques, Joao Costeira, Alexander G Hauptmann
- Published: 22 Jan 2025, Last Modified: 06 Mar 2025
- AISTATS 2025 Poster
- Readers: Everyone
Stochastic Approximation with Unbounded Markovian Noise: A General-Purpose Theorem
Shaan Ul Haque, Siva Theja Maguluri
- Published: 22 Jan 2025, Last Modified: 06 Mar 2025
- AISTATS 2025 Poster
- Readers: Everyone
Conditioning diffusion models by explicit forward-backward bridging
Adrien Corenflos, Zheng Zhao, Thomas B. Schön, Simo Särkkä, Jens Sjölund
- Published: 22 Jan 2025, Last Modified: 15 Apr 2025
- AISTATS 2025 Poster
- Readers: Everyone
Causal Representation Learning from General Environments under Nonparametric Mixing
Ignavier Ng, Shaoan Xie, Xinshuai Dong, Peter Spirtes, Kun Zhang
- Published: 22 Jan 2025, Last Modified: 16 Apr 2025
- AISTATS 2025 Poster
- Readers: Everyone
On the Computational Tractability of the (Many) Shapley Values
Reda Marzouk, Shahaf Bassan, Guy Katz, De la Higuera
- Published: 22 Jan 2025, Last Modified: 06 Mar 2025
- AISTATS 2025 Poster
- Readers: Everyone
Unveiling the Role of Randomization in Multiclass Adversarial Classification: Insights from Graph Theory
Lucas Gnecco Heredia, Matteo Sammut, Muni Sreenivas Pydi, Rafael Pinot, benjamin negrevergne, Yann Chevaleyre
- Published: 22 Jan 2025, Last Modified: 10 Mar 2025
- AISTATS 2025 Poster
- Readers: Everyone
A Novel Convex Gaussian Min Max Theorem for Repeated Features
David Bosch, Ashkan Panahi
- Published: 22 Jan 2025, Last Modified: 11 Mar 2025
- AISTATS 2025 Oral
- Readers: Everyone