AISTATS 2025 Conference Submissions

Adaptive Extragradient Methods for Root-finding Problems under Relaxed Assumptions
Yang Luo, Michael J O'Neill
- Published: 22 Jan 2025, Last Modified: 10 Mar 2025
- AISTATS 2025 Poster
- Readers: Everyone
On the Asymptotic Mean Square Error Optimality of Diffusion Models
Benedikt Fesl, Benedikt Böck, Florian Strasser, Michael Baur, Michael Joham, Wolfgang Utschick
- Published: 22 Jan 2025, Last Modified: 06 Mar 2025
- AISTATS 2025 Poster
- Readers: Everyone
Signed Graph Autoencoder for Explainable and Polarization-Aware Network Embeddings
Nikolaos Nakis, Chrysoula Kosma, Giannis Nikolentzos, Michail Chatzianastasis, Iakovos Evdaimon, Michalis Vazirgiannis
- Published: 22 Jan 2025, Last Modified: 07 Apr 2025
- AISTATS 2025 Poster
- Readers: Everyone
A Theoretical Framework for Preventing Class Collapse in Supervised Contrastive Learning
Chungpa Lee, Jeongheon Oh, Kibok Lee, Jy-yong Sohn
- Published: 22 Jan 2025, Last Modified: 11 Mar 2025
- AISTATS 2025 Poster
- Readers: Everyone
Function-Space MCMC for Bayesian Wide Neural Networks
Lucia Pezzetti, Stefano Favaro, Stefano Peluchetti
- Published: 22 Jan 2025, Last Modified: 09 Mar 2025
- AISTATS 2025 Poster
- Readers: Everyone
Ant Colony Sampling with GFlowNets for Combinatorial Optimization
Minsu Kim, Sanghyeok Choi, Hyeonah Kim, Jiwoo Son, Jinkyoo Park, Yoshua Bengio
- Published: 22 Jan 2025, Last Modified: 07 Apr 2025
- AISTATS 2025 Poster
- Readers: Everyone
HAVER: Instance-Dependent Error Bounds for Maximum Mean Estimation and Applications to Q-Learning and Monte Carlo Tree Search
Tuan Nguyen, Jay Barrett, Kwang-Sung Jun
- Published: 22 Jan 2025, Last Modified: 11 Mar 2025
- AISTATS 2025 Poster
- Readers: Everyone
Inverse Optimization with Prediction Market: A Characterization of Scoring Rules for Elciting System States
Han Bao, Shinsaku Sakaue
- Published: 22 Jan 2025, Last Modified: 06 Mar 2025
- AISTATS 2025 Poster
- Readers: Everyone
Scalable Inference for Bayesian Multinomial Logistic-Normal Dynamic Linear Models
Manan Saxena, Tinghua Chen, Justin D Silverman
- Published: 22 Jan 2025, Last Modified: 08 Mar 2025
- AISTATS 2025 Poster
- Readers: Everyone
Improving Pre-trained Self-Supervised Embeddings Through Effective Entropy Maximization
Deep Chakraborty, Yann LeCun, Tim G. J. Rudner, Erik Learned-Miller
- Published: 22 Jan 2025, Last Modified: 14 Mar 2025
- AISTATS 2025 Poster
- Readers: Everyone
Nonparametric Factor Analysis and Beyond
Yujia Zheng, Yang Liu, Jiaxiong Yao, Yingyao Hu, Kun Zhang
- Published: 22 Jan 2025, Last Modified: 08 Mar 2025
- AISTATS 2025 Poster
- Readers: Everyone
No-Regret Bayesian Optimization with Stochastic Observation Failures
Shogo Iwazaki, Tomohiko Tanabe, Mitsuru Irie, Shion Takeno, Kota Matsui, Yu Inatsu
- Published: 22 Jan 2025, Last Modified: 11 Mar 2025
- AISTATS 2025 Poster
- Readers: Everyone
Near-Optimal Algorithm for Non-Stationary Kernelized Bandits
Shogo Iwazaki, Shion Takeno
- Published: 22 Jan 2025, Last Modified: 09 Mar 2025
- AISTATS 2025 Oral
- Readers: Everyone
Some Targets Are Harder to Identify than Others: Quantifying the Target-dependent Membership Leakage
Achraf Azize, Debabrota Basu
- Published: 22 Jan 2025, Last Modified: 06 Mar 2025
- AISTATS 2025 Oral
- Readers: Everyone
Nyström Kernel Stein Discrepancy
Florian Kalinke, Zoltán Szabó, Bharath Sriperumbudur
- Published: 22 Jan 2025, Last Modified: 06 Mar 2025
- AISTATS 2025 Poster
- Readers: Everyone
Prior-Dependent Allocations for Bayesian Fixed-Budget Best-Arm Identification in Structured Bandits
Nicolas Nguyen, Imad Aouali, András György, Claire Vernade
- Published: 22 Jan 2025, Last Modified: 09 Mar 2025
- AISTATS 2025 Poster
- Readers: Everyone
Constrained Multi-objective Bayesian Optimization through Optimistic Constraints Estimation
Diantong Li, Fengxue Zhang, Chong Liu, Yuxin Chen
- Published: 22 Jan 2025, Last Modified: 10 Mar 2025
- AISTATS 2025 Poster
- Readers: Everyone
Infinite-Horizon Reinforcement Learning with Multinomial Logit Function Approximation
Jaehyun Park, Junyeop Kwon, Dabeen Lee
- Published: 22 Jan 2025, Last Modified: 06 Mar 2025
- AISTATS 2025 Poster
- Readers: Everyone
Strong Screening Rules for Group-based SLOPE Models
Fabio Feser, Marina Evangelou
- Published: 22 Jan 2025, Last Modified: 06 Mar 2025
- AISTATS 2025 Poster
- Readers: Everyone
Learning in Herding Mean Field Games: Single-Loop Algorithm with Finite-Time Convergence Analysis
Sihan Zeng, Sujay Bhatt, Alec Koppel, Sumitra Ganesh
- Published: 22 Jan 2025, Last Modified: 13 Feb 2025
- AISTATS 2025 Poster
- Readers: Everyone
Generalization Lower Bounds for GD and SGD in Smooth Stochastic Convex Optimization
Peiyuan Zhang, Jiaye Teng, Jingzhao Zhang
- Published: 22 Jan 2025, Last Modified: 10 Mar 2025
- AISTATS 2025 Poster
- Readers: Everyone
Disentangling impact of capacity, objective, batchsize, estimators, and step-size on flow VI
Abhinav Agrawal, Justin Domke
- Published: 22 Jan 2025, Last Modified: 11 Mar 2025
- AISTATS 2025 Poster
- Readers: Everyone
Approximate information maximization for bandit games
Alex Barbier Chebbah, Christian L Vestergaard, Jean Baptiste Masson, Etienne Boursier
- Published: 22 Jan 2025, Last Modified: 16 May 2025
- AISTATS 2025 Poster
- Readers: Everyone
A Bias-Variance Decomposition for Ensembles over Multiple Synthetic Datasets
Ossi Räisä, Antti Honkela
- Published: 22 Jan 2025, Last Modified: 13 Feb 2025
- AISTATS 2025 Poster
- Readers: Everyone
Adversarial Training in High-Dimensional Regression: Generated Data and Neural Networks
Yue Xing
- Published: 22 Jan 2025, Last Modified: 22 Apr 2025
- AISTATS 2025 Poster
- Readers: Everyone