AISTATS 2025 Conference Submissions

Almost linear time differentially private release of synthetic graphs
Zongrui Zou, Jingcheng Liu, Jalaj Upadhyay
- Published: 22 Jan 2025, Last Modified: 08 Apr 2025
- AISTATS 2025 Oral
- Readers: Everyone
Accelerated Methods for Riemannian Min-Max Optimization Ensuring Bounded Geometric Penalties
David Martínez-Rubio, Christophe Roux, Christopher Criscitiello, Sebastian Pokutta
- Published: 22 Jan 2025, Last Modified: 06 Mar 2025
- AISTATS 2025 Poster
- Readers: Everyone
The Pivoting Framework: Frank-Wolfe Algorithms with Active Set Size Control
Mathieu Besançon, Sebastian Pokutta, Elias Samuel Wirth
- Published: 22 Jan 2025, Last Modified: 08 Apr 2025
- AISTATS 2025 Oral
- Readers: Everyone
Choice is what matters after Attention
Chenhan Fu, Guoming Wang, Juncheng Li, Rongxing Lu, Siliang Tang
- Published: 22 Jan 2025, Last Modified: 06 Mar 2025
- AISTATS 2025 Poster
- Readers: Everyone
Density Ratio Estimation via Sampling along Generalized Geodesics on Statistical Manifolds
Masanari Kimura, Howard Bondell
- Published: 22 Jan 2025, Last Modified: 06 Mar 2025
- AISTATS 2025 Poster
- Readers: Everyone
The Local Learning Coefficient: A Singularity-Aware Complexity Measure
Edmund Lau, Zach Furman, George Wang, Daniel Murfet, Susan Wei
- Published: 22 Jan 2025, Last Modified: 10 Mar 2025
- AISTATS 2025 Poster
- Readers: Everyone
Bayesian Gaussian Process ODEs via Double Normalizing Flows
JIAN XU, Shian Du, Junmei Yang, Xinghao Ding, Delu Zeng, John Paisley
- Published: 22 Jan 2025, Last Modified: 06 Mar 2025
- AISTATS 2025 Poster
- Readers: Everyone
Harnessing the Power of Vicinity-Informed Analysis for Classification under Covariate Shift
Mitsuhiro Fujikawa, Youhei Akimoto, Jun Sakuma, Kazuto Fukuchi
- Published: 22 Jan 2025, Last Modified: 09 Mar 2025
- AISTATS 2025 Poster
- Readers: Everyone
Conditional Generative Learning from Invariant Representations in Multi-Source: Robustness and Efficiency
Guojun Zhu, Sanguo Zhang, Mingyang Ren
- Published: 22 Jan 2025, Last Modified: 13 Feb 2025
- AISTATS 2025 Poster
- Readers: Everyone
$\beta$-th order Acyclicity Derivatives for DAG Learning
Madhumitha Shridharan, Garud Iyengar
- Published: 22 Jan 2025, Last Modified: 08 Mar 2025
- AISTATS 2025 Poster
- Readers: Everyone
Relating Piecewise Linear Kolmogorov Arnold Networks to ReLU Networks
Nandi Schoots, Mattia Jacopo Villani, Niels uit de Bos
- Published: 22 Jan 2025, Last Modified: 06 Mar 2025
- AISTATS 2025 Poster
- Readers: Everyone
Estimation of Large Zipfian Distributions with Sort and Snap
Peter Matthew Jacobs, Anirban Bhattacharya, Debdeep Pati, Lekha Patel, Jeff M. Phillips
- Published: 22 Jan 2025, Last Modified: 06 Mar 2025
- AISTATS 2025 Poster
- Readers: Everyone
A Unifying Framework for Action-Conditional Self-Predictive Reinforcement Learning
Khimya Khetarpal, Zhaohan Daniel Guo, Bernardo Avila Pires, Yunhao Tang, Clare Lyle, Mark Rowland, Nicolas Heess, Diana L Borsa, Arthur Guez, Will Dabney
- Published: 22 Jan 2025, Last Modified: 11 Mar 2025
- AISTATS 2025 Poster
- Readers: Everyone
S-CFE: Simple Counterfactual Explanations
Shpresim Sadiku, Moritz Wagner, Sai Ganesh Nagarajan, Sebastian Pokutta
- Published: 22 Jan 2025, Last Modified: 07 Mar 2025
- AISTATS 2025 Poster
- Readers: Everyone
Optimising Clinical Federated Learning through Mode Connectivity-based Model Aggregation
Anshul Thakur, Soheila Molaei, Patrick Schwab, Danielle Belgrave, Kim Branson, David A. Clifton
- Published: 22 Jan 2025, Last Modified: 07 Apr 2025
- AISTATS 2025 Poster
- Readers: Everyone
Fine-Tuning with Uncertainty-Aware Priors Makes Vision and Language Foundation Models More Reliable
Tim G. J. Rudner, Xiang Pan, Yucen Lily Li, Ravid Shwartz-Ziv, Andrew Gordon Wilson
- Published: 22 Jan 2025, Last Modified: 18 Mar 2025
- AISTATS 2025 Poster
- Readers: Everyone
On the Convergence of Locally Adaptive and Scalable Diffusion-Based Sampling Methods for Deep Bayesian Neural Network Posteriors
Tim Rensmeyer, Oliver Niggemann
- Published: 22 Jan 2025, Last Modified: 13 Feb 2025
- AISTATS 2025 Poster
- Readers: Everyone
Bayesian Off-Policy Evaluation and Learning for Large Action Spaces
Imad Aouali, Victor-Emmanuel Brunel, David Rohde, Anna Korba
- Published: 22 Jan 2025, Last Modified: 08 Mar 2025
- AISTATS 2025 Poster
- Readers: Everyone
Credal Two-Sample Tests of Epistemic Uncertainty
Siu Lun Chau, Antonin Schrab, Arthur Gretton, Dino Sejdinovic, Krikamol Muandet
- Published: 22 Jan 2025, Last Modified: 10 Mar 2025
- AISTATS 2025 Poster
- Readers: Everyone
Efficient Estimation of a Gaussian Mean with Local Differential Privacy
Nikita Kalinin, Lukas Steinberger
- Published: 22 Jan 2025, Last Modified: 14 May 2025
- AISTATS 2025 Poster
- Readers: Everyone
ClusterSC: Advancing Synthetic Control with Donor Selection
Saeyoung Rho, Andrew Tang, Noah Bergam, Rachel Cummings, Vishal Misra
- Published: 22 Jan 2025, Last Modified: 18 Apr 2025
- AISTATS 2025 Poster
- Readers: Everyone
Bayesian Inference in Recurrent Explicit Duration Switching Linear Dynamical Systems
Mikołaj Słupiński
- Published: 22 Jan 2025, Last Modified: 10 Mar 2025
- AISTATS 2025 Poster
- Readers: Everyone
Flexible Copula-Based Mixed Models in Deep Learning: A Scalable Approach to Arbitrary Marginals
Giora Simchoni, Saharon Rosset
- Published: 22 Jan 2025, Last Modified: 06 Mar 2025
- AISTATS 2025 Poster
- Readers: Everyone
Randomized Iterative Solver as Iterative Refinement: A Simple Fix Towards Backward Stability
Ruihan Xu, Yiping Lu
- Published: 22 Jan 2025, Last Modified: 22 Apr 2025
- AISTATS 2025 Poster
- Readers: Everyone
Lower Bounds for Time-Varying Kernelized Bandits
Xu Cai, Jonathan Scarlett
- Published: 22 Jan 2025, Last Modified: 13 Feb 2025
- AISTATS 2025 Poster
- Readers: Everyone