AISTATS 2025 Conference Submissions

Bandit Pareto Set Identification in a Multi-Output Linear Model
Cyrille Kone, Emilie Kaufmann, Laura Richert
- Published: 22 Jan 2025, Last Modified: 22 Apr 2025
- AISTATS 2025 Poster
- Readers: Everyone
Evaluating Prediction-based Interventions with Human Decision Makers In Mind
Inioluwa Deborah Raji, Lydia T. Liu
- Published: 22 Jan 2025, Last Modified: 11 Mar 2025
- AISTATS 2025 Poster
- Readers: Everyone
Symmetry-Based Structured Matrices for Efficient Approximately Equivariant Networks
Ashwin Samudre, Mircea Petrache, Brian Nord, Shubhendu Trivedi
- Published: 22 Jan 2025, Last Modified: 07 Apr 2025
- AISTATS 2025 Oral
- Readers: Everyone
Optimal Multi-Objective Best Arm Identification with Fixed Confidence
Zhirui Chen, P. N. Karthik, Yeow Meng Chee, Vincent Y. F. Tan
- Published: 22 Jan 2025, Last Modified: 10 Mar 2025
- AISTATS 2025 Poster
- Readers: Everyone
Variational Inference on the Boolean Hypercube with the Quantum Entropy
Eliot Beyler, Francis Bach
- Published: 22 Jan 2025, Last Modified: 06 Mar 2025
- AISTATS 2025 Poster
- Readers: Everyone
$f$-PO: Generalizing Preference Optimization with $f$-divergence Minimization
Jiaqi Han, Mingjian Jiang, Yuxuan Song, Stefano Ermon, Minkai Xu
- Published: 22 Jan 2025, Last Modified: 07 Apr 2025
- AISTATS 2025 Poster
- Readers: Everyone
Distributional Counterfactual Explanations With Optimal Transport
Lei You, Lele Cao, Mattias Nilsson, Bo Zhao, Lei Lei
- Published: 22 Jan 2025, Last Modified: 22 Apr 2025
- AISTATS 2025 Oral
- Readers: Everyone
Model selection for behavioral learning data and applications to contextual bandits
Julien Aubert, Louis Köhler, Luc Lehéricy, Giulia Mezzadri, Patricia Reynaud-Bouret
- Published: 22 Jan 2025, Last Modified: 13 Feb 2025
- AISTATS 2025 Poster
- Readers: Everyone
Policy Teaching via Data Poisoning in Learning from Human Preferences
Andi Nika, Jonathan Nöther, Debmalya Mandal, Parameswaran Kamalaruban, Adish Singla, Goran Radanovic
- Published: 22 Jan 2025, Last Modified: 10 Mar 2025
- AISTATS 2025 Poster
- Readers: Everyone
Online Student-$t$ Processes with an Overall-local Scale Structure for Modelling Non-stationary Data
Taole Sha, Michael Minyi Zhang
- Published: 22 Jan 2025, Last Modified: 11 Mar 2025
- AISTATS 2025 Poster
- Readers: Everyone
Locally Optimal Descent for Dynamic Stepsize Scheduling
Gilad Yehudai, Alon Cohen, Amit Daniely, Yoel Drori, Tomer Koren, Mariano Schain
- Published: 22 Jan 2025, Last Modified: 09 Mar 2025
- AISTATS 2025 Poster
- Readers: Everyone
Prior-Fitted Networks Scale to Larger Datasets When Treated as Weak Learners
Yuxin Wang, Botian Jiang, YiranGuo, Quan Gan, David Wipf, Xuanjing Huang, Xipeng Qiu
- Published: 22 Jan 2025, Last Modified: 07 Apr 2025
- AISTATS 2025 Poster
- Readers: Everyone
On the Power of Adaptive Weighted Aggregation in Heterogeneous Federated Learning and Beyond
Dun Zeng, Zenglin Xu, SHIYU LIU, Yu Pan, Qifan Wang, Xiaoying Tang
- Published: 22 Jan 2025, Last Modified: 10 Mar 2025
- AISTATS 2025 Poster
- Readers: Everyone
Learning-Augmented Algorithms for Online Concave Packing and Convex Covering Problems
Elena Grigorescu, Young-San Lin, Maoyuan Song
- Published: 22 Jan 2025, Last Modified: 06 Mar 2025
- AISTATS 2025 Poster
- Readers: Everyone
Trustworthy assessment of heterogeneous treatment effect estimator via analysis of relative error
Zijun Gao
- Published: 22 Jan 2025, Last Modified: 22 Apr 2025
- AISTATS 2025 Poster
- Readers: Everyone
Hybrid Transfer Reinforcement Learning: Provable Sample Efficiency from Shifted-Dynamics Data
Chengrui Qu, Laixi Shi, Kishan Panaganti, Pengcheng You, Adam Wierman
- Published: 22 Jan 2025, Last Modified: 10 Mar 2025
- AISTATS 2025 Oral
- Readers: Everyone
Bayesian Decision Theory on Decision Trees: Uncertainty Evaluation and Interpretability
Yuta Nakahara, Shota Saito, Naoki Ichijo, Koki Kazama, Toshiyasu Matsushima
- Published: 22 Jan 2025, Last Modified: 11 Mar 2025
- AISTATS 2025 Poster
- Readers: Everyone
HAR-former: Hybrid Transformer with an Adaptive Time-Frequency Representation Matrix for Long-Term Series Forecasting
zhengkenghao, ZI LONG, Shuxin Wang
- Published: 22 Jan 2025, Last Modified: 22 Apr 2025
- AISTATS 2025 Poster
- Readers: Everyone
Q-function Decomposition with Intervention Semantics for Factored Action Spaces
Junkyu Lee, Tian Gao, Elliot Nelson, Miao Liu, Debarun Bhattacharjya, Songtao Lu
- Published: 22 Jan 2025, Last Modified: 11 Mar 2025
- AISTATS 2025 Poster
- Readers: Everyone
Geometry-Aware Generative Autoencoders for Warped Riemannian Metric Learning and Generative Modeling on Data Manifolds
Xingzhi Sun, Danqi Liao, Kincaid MacDonald, Yanlei Zhang, Guillaume Huguet, Guy Wolf, Ian Adelstein, Tim G. J. Rudner, Smita Krishnaswamy
- Published: 22 Jan 2025, Last Modified: 18 Mar 2025
- AISTATS 2025 Poster
- Readers: Everyone
Convergence Analysis for General Probability Flow ODEs of Diffusion Models in Wasserstein Distances
Xuefeng Gao, Lingjiong Zhu
- Published: 22 Jan 2025, Last Modified: 08 Apr 2025
- AISTATS 2025 Poster
- Readers: Everyone
Pareto Set Identification With Posterior Sampling
Cyrille Kone, Marc Jourdan, Emilie Kaufmann
- Published: 22 Jan 2025, Last Modified: 11 Mar 2025
- AISTATS 2025 Poster
- Readers: Everyone
Planning and Learning in Risk-Aware Restless Multi-Arm Bandits
Nima Akbarzadeh, Yossiri Adulyasak, Erick Delage
- Published: 22 Jan 2025, Last Modified: 07 Apr 2025
- AISTATS 2025 Poster
- Readers: Everyone
Optimizing Neural Network Training and Quantization with Rooted Logistic Objectives
Zhu Wang, Praveen Raj Veluswami, Harsh Mishra, Sathya N. Ravi
- Published: 22 Jan 2025, Last Modified: 11 Mar 2025
- AISTATS 2025 Poster
- Readers: Everyone
Learning the Distribution Map in Reverse Causal Performative Prediction
Daniele Bracale, Subha Maity, Yuekai Sun, Moulinath Banerjee
- Published: 22 Jan 2025, Last Modified: 10 Mar 2025
- AISTATS 2025 Poster
- Readers: Everyone