AISTATS 2025 Conference Submissions

A Family of Distributions of Random Subsets for Controlling Positive and Negative Dependence
Takahiro Kawashima, Hideitsu Hino
- Published: 22 Jan 2025, Last Modified: 13 Feb 2025
- AISTATS 2025 Poster
- Readers: Everyone
Locally Private Estimation with Public Features
Yuheng Ma, Ke Jia, Hanfang Yang
- Published: 22 Jan 2025, Last Modified: 13 Feb 2025
- AISTATS 2025 Poster
- Readers: Everyone
Revisiting Online Learning Approach to Inverse Linear Optimization: A Fenchel–Young Loss Perspective and Gap-Dependent Regret Analysis
Shinsaku Sakaue, Han Bao, Taira Tsuchiya
- Published: 22 Jan 2025, Last Modified: 23 Apr 2025
- AISTATS 2025 Poster
- Readers: Everyone
Generalized Criterion for Identifiability of Additive Noise Models Using Majorization
Aramayis Dallakyan, Yang Ni
- Published: 22 Jan 2025, Last Modified: 13 Feb 2025
- AISTATS 2025 Poster
- Readers: Everyone
Cost-aware simulation-based inference
Ayush Bharti, Daolang Huang, Samuel Kaski, Francois-Xavier Briol
- Published: 22 Jan 2025, Last Modified: 22 Apr 2025
- AISTATS 2025 Poster
- Readers: Everyone
Automatically Adaptive Conformal Risk Control
Vincent Blot, Anastasios Nikolas Angelopoulos, Michael Jordan, Nicolas J-B. Brunel
- Published: 22 Jan 2025, Last Modified: 07 Apr 2025
- AISTATS 2025 Poster
- Readers: Everyone
Paths and Ambient Spaces in Neural Loss Landscapes
Daniel Dold, Julius Kobialka, Nicolai Palm, Emanuel Sommer, David Rügamer, Oliver Dürr
- Published: 22 Jan 2025, Last Modified: 06 Mar 2025
- AISTATS 2025 Poster
- Readers: Everyone
Additive Model Boosting: New Insights and Path(ologie)s
Rickmer Schulte, David Rügamer
- Published: 22 Jan 2025, Last Modified: 06 Mar 2025
- AISTATS 2025 Oral
- Readers: Everyone