AISTATS 2025 Conference Submissions

To Give or Not to Give? The Impacts of Strategically Withheld Recourse
Yatong Chen, Andrew Estornell, Yevgeniy Vorobeychik, Yang Liu
- Published: 22 Jan 2025, Last Modified: 07 Apr 2025
- AISTATS 2025 Poster
- Readers: Everyone
The Polynomial Iteration Complexity for Variance Exploding Diffusion Models: Elucidating SDE and ODE Samplers
Ruofeng Yang, Bo Jiang, Shuai Li
- Published: 22 Jan 2025, Last Modified: 10 Mar 2025
- AISTATS 2025 Poster
- Readers: Everyone
Bridging Multiple Worlds: Multi-marginal Optimal Transport for Causal Partial-identification Problem
Zijun Gao, Shu Ge, Jian Qian
- Published: 22 Jan 2025, Last Modified: 07 Apr 2025
- AISTATS 2025 Poster
- Readers: Everyone
Steering No-Regret Agents in MFGs under Model Uncertainty
Leo Widmer, Jiawei Huang, Niao He
- Published: 22 Jan 2025, Last Modified: 10 Mar 2025
- AISTATS 2025 Poster
- Readers: Everyone
Amortized Probabilistic Conditioning for Optimization, Simulation and Inference
Paul Edmund Chang, Nasrulloh Ratu Bagus Satrio Loka, Daolang Huang, Ulpu Remes, Samuel Kaski, Luigi Acerbi
- Published: 22 Jan 2025, Last Modified: 06 Mar 2025
- AISTATS 2025 Poster
- Readers: Everyone
On the Sample Complexity of Next-Token Prediction
Oğuz Kaan Yüksel, Nicolas Flammarion
- Published: 22 Jan 2025, Last Modified: 11 Mar 2025
- AISTATS 2025 Poster
- Readers: Everyone
A Generalized Theory of Mixup for Structure-Preserving Synthetic Data
Chungpa Lee, Jongho Im, Joseph H.T. Kim
- Published: 22 Jan 2025, Last Modified: 10 Mar 2025
- AISTATS 2025 Poster
- Readers: Everyone
FedBaF: Federated Learning Aggregation Biased by a Foundation Model
Jong-Ik Park, Srinivasa Pranav, Jose M F Moura, Carlee Joe-Wong
- Published: 22 Jan 2025, Last Modified: 11 Mar 2025
- AISTATS 2025 Poster
- Readers: Everyone
Learning the Pareto Front Using Bootstrapped Observation Samples
Wonyoung Kim, Garud Iyengar, assaf zeevi
- Published: 22 Jan 2025, Last Modified: 21 Apr 2025
- AISTATS 2025 Poster
- Readers: Everyone
Harnessing Causality in Reinforcement Learning with Bagged Decision Times
Daiqi Gao, Hsin-Yu Lai, Predrag Klasnja, Susan Murphy
- Published: 22 Jan 2025, Last Modified: 11 Mar 2025
- AISTATS 2025 Poster
- Readers: Everyone
Prediction-Centric Uncertainty Quantification via MMD
Zheyang Shen, Jeremias Knoblauch, Samuel Power, Chris J. Oates
- Published: 22 Jan 2025, Last Modified: 06 Mar 2025
- AISTATS 2025 Poster
- Readers: Everyone
Reinforcement Learning for Adaptive MCMC
Congye Wang, Wilson Ye Chen, Heishiro Kanagawa, Chris J. Oates
- Published: 22 Jan 2025, Last Modified: 13 Feb 2025
- AISTATS 2025 Poster
- Readers: Everyone
Reliable and Scalable Variable Importance Estimation via Warm-start and Early Stopping
Zexuan Sun, Garvesh Raskutti
- Published: 22 Jan 2025, Last Modified: 11 Mar 2025
- AISTATS 2025 Poster
- Readers: Everyone
Locally Private Sampling with Public Data
Behnoosh Zamanlooy, Mario Diaz, Shahab Asoodeh
- Published: 22 Jan 2025, Last Modified: 11 Mar 2025
- AISTATS 2025 Poster
- Readers: Everyone
Data Reconstruction Attacks and Defenses: A Systematic Evaluation
Sheng Liu, Zihan Wang, Yuxiao Chen, Qi Lei
- Published: 22 Jan 2025, Last Modified: 07 Mar 2025
- AISTATS 2025 Poster
- Readers: Everyone
On the Geometry and Optimization of Polynomial Convolutional Networks
Vahid Shahverdi, Giovanni Luca Marchetti, Kathlén Kohn
- Published: 22 Jan 2025, Last Modified: 06 Mar 2025
- AISTATS 2025 Poster
- Readers: Everyone
Empirical Error Estimates for Graph Sparsification
Siyao Wang, Miles E. Lopes
- Published: 22 Jan 2025, Last Modified: 10 Mar 2025
- AISTATS 2025 Poster
- Readers: Everyone
Selecting the Number of Communities for Weighted Degree-Corrected Stochastic Block Models
Yucheng Liu, Xiaodong Li
- Published: 22 Jan 2025, Last Modified: 07 Mar 2025
- AISTATS 2025 Poster
- Readers: Everyone
Learning Identifiable Structures Helps Avoid Bias in DNN-based Supervised Causal Learning
Jiaru Zhang, Rui Ding, Qiang Fu, Huang Bojun, zizhen Deng, Yang Hua, Haibing Guan, Shi Han, Dongmei Zhang
- Published: 22 Jan 2025, Last Modified: 06 Mar 2025
- AISTATS 2025 Poster
- Readers: Everyone
Epistemic Uncertainty and Excess Risk in Variational Inference
Futoshi Futami
- Published: 22 Jan 2025, Last Modified: 10 Mar 2025
- AISTATS 2025 Poster
- Readers: Everyone
Bridging Domains with Approximately Shared Features
Ziliang Samuel Zhong, Xiang Pan, Qi Lei
- Published: 22 Jan 2025, Last Modified: 23 Apr 2025
- AISTATS 2025 Poster
- Readers: Everyone
Scalable spectral representations for multiagent reinforcement learning in network MDPs
Zhaolin Ren, Runyu Zhang, Bo Dai, Na Li
- Published: 22 Jan 2025, Last Modified: 07 Apr 2025
- AISTATS 2025 Poster
- Readers: Everyone
Elastic Representation: Mitigating Spurious Correlations for Group Robustness
Tao Wen, Zihan Wang, Quan Zhang, Qi Lei
- Published: 22 Jan 2025, Last Modified: 09 Mar 2025
- AISTATS 2025 Poster
- Readers: Everyone
Signature Isolation Forest
Marta Campi, Guillaume Staerman, Gareth W. Peters, Tomoko Masui
- Published: 22 Jan 2025, Last Modified: 24 Mar 2025
- AISTATS 2025 Poster
- Readers: Everyone
Fourier Circuits in Neural Networks and Transformers: A Case Study of Modular Arithmetic with Multiple Inputs
Chenyang Li, Yingyu Liang, Zhenmei Shi, Zhao Song, Tianyi Zhou
- Published: 22 Jan 2025, Last Modified: 09 Mar 2025
- AISTATS 2025 Poster
- Readers: Everyone