AISTATS 2025 Conference Submissions

Multi-agent Multi-armed Bandit Regret Complexity and Optimality
Mengfan Xu, Diego Klabjan
- Published: 22 Jan 2025, Last Modified: 06 Mar 2025
- AISTATS 2025 Poster
- Readers: Everyone
Training LLMs with MXFP4
Albert Tseng, Tao Yu, Youngsuk Park
- Published: 22 Jan 2025, Last Modified: 08 Apr 2025
- AISTATS 2025 Poster
- Readers: Everyone
Towards a mathematical theory for consistency training in diffusion models
Gen Li, Zhihan Huang, Yuting Wei
- Published: 22 Jan 2025, Last Modified: 09 Mar 2025
- AISTATS 2025 Poster
- Readers: Everyone
Clustered Invariant Risk Minimization
Tomoya Murata, Atsushi Nitanda, Taiji Suzuki
- Published: 22 Jan 2025, Last Modified: 10 Mar 2025
- AISTATS 2025 Poster
- Readers: Everyone
ROTI-GCV: Generalized Cross-Validation for right-ROTationally Invariant Data
Kevin Luo, Yufan Li, Pragya Sur
- Published: 22 Jan 2025, Last Modified: 11 Mar 2025
- AISTATS 2025 Poster
- Readers: Everyone
Dissecting the Impact of Model Misspecification in Data-Driven Optimization
Adam N. Elmachtoub, Henry Lam, Haixiang Lan, Haofeng Zhang
- Published: 22 Jan 2025, Last Modified: 11 Mar 2025
- AISTATS 2025 Poster
- Readers: Everyone
Minimum Empirical Divergence for Sub-Gaussian Linear Bandits
Kapilan Balagopalan, Kwang-Sung Jun
- Published: 22 Jan 2025, Last Modified: 11 Mar 2025
- AISTATS 2025 Poster
- Readers: Everyone
Importance-weighted Positive-unlabeled Learning for Distribution Shift Adaptation
Atsutoshi Kumagai, Tomoharu Iwata, Hiroshi Takahashi, Taishi Nishiyama, Yasuhiro Fujiwara
- Published: 22 Jan 2025, Last Modified: 06 Mar 2025
- AISTATS 2025 Oral
- Readers: Everyone
Neural Point Processes for Pixel-wise Regression
Chengzhi Shi, Gözde Özcan, Miquel Sirera Perelló, Yuanyuan Li, Nina Iftikhar Shamsi, Stratis Ioannidis
- Published: 22 Jan 2025, Last Modified: 23 Apr 2025
- AISTATS 2025 Poster
- Readers: Everyone
Provable Benefits of Task-Specific Prompts for In-context Learning
Xiangyu Chang, Yingcong Li, Muti Kara, Samet Oymak, Amit Roy-Chowdhury
- Published: 22 Jan 2025, Last Modified: 06 Mar 2025
- AISTATS 2025 Poster
- Readers: Everyone
Improved dependence on coherence in eigenvector and eigenvalue estimation error bounds
Hao Yan, Keith Levin
- Published: 22 Jan 2025, Last Modified: 06 Mar 2025
- AISTATS 2025 Poster
- Readers: Everyone
Multi-Player Approaches for Dueling Bandits
Or Raveh, Junya Honda, Masashi Sugiyama
- Published: 22 Jan 2025, Last Modified: 22 Apr 2025
- AISTATS 2025 Poster
- Readers: Everyone
Transformers are Provably Optimal In-context Estimators for Wireless Communications
Vishnu Teja Kunde, Vicram Rajagopalan, Chandra Shekhara Kaushik Valmeekam, Krishna Narayanan, Jean-Francois Chamberland, Dileep Kalathil, Srinivas Shakkottai
- Published: 22 Jan 2025, Last Modified: 22 Apr 2025
- AISTATS 2025 Poster
- Readers: Everyone
On the Inherent Privacy of Zeroth-Order Projected Gradient Descent
Devansh Gupta, Meisam Razaviyayn, Vatsal Sharan
- Published: 22 Jan 2025, Last Modified: 10 Mar 2025
- AISTATS 2025 Poster
- Readers: Everyone
An Adaptive Method for Weak Supervision with Drifting Data
Alessio Mazzetto, Reza Esfandiarpoor, Akash Singirikonda, Eli Upfal, Stephen Bach
- Published: 22 Jan 2025, Last Modified: 10 Mar 2025
- AISTATS 2025 Poster
- Readers: Everyone
Differentially Private Range Queries with Correlated Input Perturbation
Prathamesh Dharangutte, Jie Gao, Ruobin Gong, Guanyang Wang
- Published: 22 Jan 2025, Last Modified: 09 Mar 2025
- AISTATS 2025 Poster
- Readers: Everyone
Dynamic DBSCAN with Euler Tour Sequences
Seiyun Shin, Ilan Shomorony, Peter Macgregor
- Published: 22 Jan 2025, Last Modified: 07 Apr 2025
- AISTATS 2025 Poster
- Readers: Everyone
On Distributional Discrepancy for Experimental Design with General Assignment Probabilities
Anup Rao, Peng Zhang
- Published: 22 Jan 2025, Last Modified: 07 Apr 2025
- AISTATS 2025 Oral
- Readers: Everyone
Fully Dynamic Adversarially Robust Correlation Clustering in Polylogarithmic Update Time
Vladimir Braverman, Prathamesh Dharangutte, Shreyas Pai, Vihan Shah, Chen Wang
- Published: 22 Jan 2025, Last Modified: 10 Mar 2025
- AISTATS 2025 Poster
- Readers: Everyone
Differentiable Calibration of Inexact Stochastic Simulation Models via Kernel Score Minimization
Ziwei Su, Diego Klabjan
- Published: 22 Jan 2025, Last Modified: 10 Mar 2025
- AISTATS 2025 Poster
- Readers: Everyone
Learning to Negotiate via Voluntary Commitment
Shuhui Zhu, Baoxiang Wang, Sriram Ganapathi Subramanian, Pascal Poupart
- Published: 22 Jan 2025, Last Modified: 07 Apr 2025
- AISTATS 2025 Poster
- Readers: Everyone
Adaptive Convergence Rates for Log-Concave Maximum Likelihood
Gil Kur, Aditya Guntuboyina
- Published: 22 Jan 2025, Last Modified: 08 Apr 2025
- AISTATS 2025 Poster
- Readers: Everyone
Improving Stochastic Cubic Newton with Momentum
El Mahdi Chayti, Nikita Doikov, Martin Jaggi
- Published: 22 Jan 2025, Last Modified: 11 Mar 2025
- AISTATS 2025 Poster
- Readers: Everyone
Recursive Learning of Asymptotic Variational Objectives
Alessandro Mastrototaro, Mathias Müller, Jimmy Olsson
- Published: 22 Jan 2025, Last Modified: 21 Mar 2025
- AISTATS 2025 Poster
- Readers: Everyone
Is Merging Worth It? Securely Evaluating the Information Gain for Causal Dataset Acquisition
Jake Fawkes, Lucile Ter-Minassian, Desi R. Ivanova, Uri Shalit, Christopher C. Holmes
- Published: 22 Jan 2025, Last Modified: 07 Apr 2025
- AISTATS 2025 Poster
- Readers: Everyone