AISTATS 2025 Conference Submissions

A Multi-Armed Bandit Approach to Online Selection and Evaluation of Generative Models
Xiaoyan Hu, Ho-fung Leung, Farzan Farnia
- Published: 22 Jan 2025, Last Modified: 07 Apr 2025
- AISTATS 2025 Poster
- Readers: Everyone
Performative Prediction on Games and Mechanism Design
António Góis, Mehrnaz Mofakhami, Fernando P. Santos, Gauthier Gidel, Simon Lacoste-Julien
- Published: 22 Jan 2025, Last Modified: 23 May 2025
- AISTATS 2025 Poster
- Readers: Everyone
Approximating the Total Variation Distance between Gaussians
Arnab Bhattacharyya, Weiming Feng, Piyush Srivastava
- Published: 22 Jan 2025, Last Modified: 09 Mar 2025
- AISTATS 2025 Poster
- Readers: Everyone
Personalized Convolutional Dictionary Learning of Physiological Time Series
Axel Roques, Samuel Gruffaz, Kyurae Kim, Alain Oliviero Durmus, Laurent Oudre
- Published: 22 Jan 2025, Last Modified: 06 Mar 2025
- AISTATS 2025 Poster
- Readers: Everyone
Learning Graph Node Embeddings by Smooth Pair Sampling
Konstantin Kutzkov
- Published: 22 Jan 2025, Last Modified: 09 Mar 2025
- AISTATS 2025 Oral
- Readers: Everyone
The Hardness of Validating Observational Studies with Experimental Data
Jake Fawkes, Michael O'Riordan, Athanasios Vlontzos, Oriol Corcoll, Ciarán Mark Gilligan-Lee
- Published: 22 Jan 2025, Last Modified: 24 Mar 2025
- AISTATS 2025 Poster
- Readers: Everyone
Pure Exploration with Feedback Graphs
Alessio Russo, Yichen Song, Aldo Pacchiano
- Published: 22 Jan 2025, Last Modified: 10 Mar 2025
- AISTATS 2025 Oral
- Readers: Everyone
Factor Analysis with Correlated Topic Model for Multi-Modal Data
Małgorzata Łazęcka, Ewa Maria Szczurek
- Published: 22 Jan 2025, Last Modified: 19 Mar 2025
- AISTATS 2025 Poster
- Readers: Everyone
From Learning to Optimize to Learning Optimization Algorithms
Camille Castera, Peter Ochs
- Published: 22 Jan 2025, Last Modified: 06 Mar 2025
- AISTATS 2025 Poster
- Readers: Everyone
Hyperboloid GPLVM for Discovering Continuous Hierarchies via Nonparametric Estimation
Koshi Watanabe, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama
- Published: 22 Jan 2025, Last Modified: 09 Mar 2025
- AISTATS 2025 Poster
- Readers: Everyone
High-probability Convergence Bounds for Online Nonlinear Stochastic Gradient Descent under Heavy-tailed Noise
Aleksandar Armacki, Shuhua Yu, Pranay Sharma, Gauri Joshi, Dragana Bajovic, Dusan Jakovetic, Soummya Kar
- Published: 22 Jan 2025, Last Modified: 08 Mar 2025
- AISTATS 2025 Poster
- Readers: Everyone
On Tractability of Learning Bayesian Networks with Ancestral Constraints
Juha Harviainen, Pekka Parviainen
- Published: 22 Jan 2025, Last Modified: 06 Mar 2025
- AISTATS 2025 Poster
- Readers: Everyone
Wasserstein Gradient Flow over Variational Parameter Space for Variational Inference
Dai Hai Nguyen, Tetsuya Sakurai, Hiroshi Mamitsuka
- Published: 22 Jan 2025, Last Modified: 11 Mar 2025
- AISTATS 2025 Poster
- Readers: Everyone
Statistical Inference for Feature Selection after Optimal Transport-based Domain Adaptation
Nguyen Thang Loi, Duong Tan Loc, Vo Nguyen Le Duy
- Published: 22 Jan 2025, Last Modified: 06 Mar 2025
- AISTATS 2025 Poster
- Readers: Everyone
Adaptive RKHS Fourier Features for Compositional Gaussian Process Models
Xinxing Shi, Thomas Baldwin-McDonald, Mauricio A Álvarez
- Published: 22 Jan 2025, Last Modified: 06 Mar 2025
- AISTATS 2025 Poster
- Readers: Everyone
Consistent Amortized Clustering via Generative Flow Networks
Irit Chelly, Roy Uziel, Oren Freifeld, Ari Pakman
- Published: 22 Jan 2025, Last Modified: 06 Mar 2025
- AISTATS 2025 Poster
- Readers: Everyone
Truncated Inverse-Lévy Measure Representation of the Beta Process
Junyi Zhang, Angelos Dassios, Zhong Chong, Qiufei Yao
- Published: 22 Jan 2025, Last Modified: 06 Mar 2025
- AISTATS 2025 Poster
- Readers: Everyone
Post-processing for Fair Regression via Explainable SVD
Zhiqun Zuo, Ding Zhu, Mohammad Mahdi Khalili
- Published: 22 Jan 2025, Last Modified: 11 Mar 2025
- AISTATS 2025 Poster
- Readers: Everyone
Cross Validation for Correlated Data in Classification Models
Oren Yuval, Saharon Rosset
- Published: 22 Jan 2025, Last Modified: 06 Mar 2025
- AISTATS 2025 Poster
- Readers: Everyone
Bayesian Circular Regression with von Mises Quasi-Processes
Yarden Cohen, Alexandre Khae Wu Navarro, Jes Frellsen, Richard E. Turner, Raziel Riemer, Ari Pakman
- Published: 22 Jan 2025, Last Modified: 19 Mar 2025
- AISTATS 2025 Poster
- Readers: Everyone
What and How does In-Context Learning Learn? Bayesian Model Averaging, Parameterization, and Generalization
Yufeng Zhang, Fengzhuo Zhang, Zhuoran Yang, Zhaoran Wang
- Published: 22 Jan 2025, Last Modified: 08 Mar 2025
- AISTATS 2025 Poster
- Readers: Everyone
A Likelihood Based Approach for Watermark Detection
Xingchi Li, Guanxun Li, Xianyang Zhang
- Published: 22 Jan 2025, Last Modified: 11 Mar 2025
- AISTATS 2025 Poster
- Readers: Everyone
AxlePro: Momentum-Accelerated Batched Training of Kernel Machines
Yiming Zhang, Parthe Pandit
- Published: 22 Jan 2025, Last Modified: 07 Apr 2025
- AISTATS 2025 Poster
- Readers: Everyone
Reinforcement Learning with Intrinsically Motivated Feedback Graph for Lost-sales Inventory Control
Zifan LIU, Xinran Li, Shibo Chen, Gen Li, Jiashuo Jiang, Jun Zhang
- Published: 22 Jan 2025, Last Modified: 07 Apr 2025
- AISTATS 2025 Poster
- Readers: Everyone
Models That Are Interpretable But Not Transparent
Chudi Zhong, Panyu Chen, Cynthia Rudin
- Published: 22 Jan 2025, Last Modified: 09 Mar 2025
- AISTATS 2025 Poster
- Readers: Everyone