AISTATS 2025 Conference Submissions

General Staircase Mechanisms for Optimal Differential Privacy
Alex Kulesza, Ananda Theertha Suresh, Yuyan Wang
- Published: 22 Jan 2025, Last Modified: 16 Apr 2025
- AISTATS 2025 Poster
- Readers: Everyone
Linearized Wasserstein Barycenters: Synthesis, Analysis, Representational Capacity, and Applications
Matthew Werenski, Brendan Mallery, Shuchin Aeron, James M. Murphy
- Published: 22 Jan 2025, Last Modified: 12 Mar 2025
- AISTATS 2025 Poster
- Readers: Everyone
Causal Temporal Regime Structure Learning
Abdellah Rahmani, Pascal Frossard
- Published: 22 Jan 2025, Last Modified: 10 Mar 2025
- AISTATS 2025 Poster
- Readers: Everyone
Faster WIND: Accelerating Iterative Best-of-$N$ Distillation for LLM Alignment
Tong Yang, Jincheng Mei, Hanjun Dai, Zixin Wen, Shicong Cen, Dale Schuurmans, Yuejie Chi, Bo Dai
- Published: 22 Jan 2025, Last Modified: 31 Mar 2025
- AISTATS 2025 Poster
- Readers: Everyone
Beyond Discretization: Learning the Optimal Solution Path
Qiran Dong, Paul Grigas, Vishal Gupta
- Published: 22 Jan 2025, Last Modified: 10 Mar 2025
- AISTATS 2025 Poster
- Readers: Everyone
Stochastic Weight Sharing for Bayesian Neural Networks
Moule Lin, Shuhao Guan, Weipeng Jing, Goetz Botterweck, Andrea Patane
- Published: 22 Jan 2025, Last Modified: 16 Apr 2025
- AISTATS 2025 Poster
- Readers: Everyone
Batch, match, and patch: low-rank approximations for score-based variational inference
Chirag Modi, Diana Cai, Lawrence K. Saul
- Published: 22 Jan 2025, Last Modified: 16 Apr 2025
- AISTATS 2025 Poster
- Readers: Everyone
Understanding Expert Structures on Minimax Parameter Estimation in Contaminated Mixture of Experts
Fanqi Yan, Huy Nguyen, Le Quang Dung, Pedram Akbarian, Nhat Ho
- Published: 22 Jan 2025, Last Modified: 21 Mar 2025
- AISTATS 2025 Poster
- Readers: Everyone
Cost-Aware Optimal Pairwise Pure Exploration
Di Wu, Chengshuai Shi, Ruida Zhou, Cong Shen
- Published: 22 Jan 2025, Last Modified: 08 Mar 2025
- AISTATS 2025 Poster
- Readers: Everyone
Efficient and Asymptotically Unbiased Constrained Decoding for Large Language Models
Haotian Ye, Himanshu Jain, Chong You, Ananda Theertha Suresh, Haowei Lin, James Zou, Felix Yu
- Published: 22 Jan 2025, Last Modified: 16 Apr 2025
- AISTATS 2025 Poster
- Readers: Everyone
Quantifying Knowledge Distillation using Partial Information Decomposition
Pasan Dissanayake, Faisal Hamman, Barproda Halder, Ilia Sucholutsky, Qiuyi Zhang, Sanghamitra Dutta
- Published: 22 Jan 2025, Last Modified: 11 Mar 2025
- AISTATS 2025 Poster
- Readers: Everyone
SINE: Scalable MPE Inference for Probabilistic Graphical Models using Advanced Neural Embeddings
Shivvrat Arya, Tahrima Rahman, Vibhav Giridhar Gogate
- Published: 22 Jan 2025, Last Modified: 10 Mar 2025
- AISTATS 2025 Poster
- Readers: Everyone
Online Assortment and Price Optimization Under Contextual Choice Models
Yigit Efe Erginbas, Thomas Courtade, Kannan Ramchandran
- Published: 22 Jan 2025, Last Modified: 11 Mar 2025
- AISTATS 2025 Poster
- Readers: Everyone
Bypassing the Exponential Dependency: Looped Transformers Efficiently Learn In-context by Multi-step Gradient Descent
Bo Chen, Xiaoyu Li, Yingyu Liang, Zhenmei Shi, Zhao Song
- Published: 22 Jan 2025, Last Modified: 06 Mar 2025
- AISTATS 2025 Poster
- Readers: Everyone
Keeping up with dynamic attackers: Certifying robustness to adaptive online data poisoning
Avinandan Bose, Laurent Lessard, Maryam Fazel, Krishnamurthy Dj Dvijotham
- Published: 22 Jan 2025, Last Modified: 22 Apr 2025
- AISTATS 2025 Poster
- Readers: Everyone
Corruption Robust Offline Reinforcement Learning with Human Feedback
Debmalya Mandal, Andi Nika, Parameswaran Kamalaruban, Adish Singla, Goran Radanovic
- Published: 22 Jan 2025, Last Modified: 10 Mar 2025
- AISTATS 2025 Oral
- Readers: Everyone
Offline Multi-task Transfer RL with Representational Penalization
Avinandan Bose, Simon Shaolei Du, Maryam Fazel
- Published: 22 Jan 2025, Last Modified: 16 Apr 2025
- AISTATS 2025 Poster
- Readers: Everyone
Posterior Mean Matching: Generative Modeling through Online Bayesian Inference
Sebastian Salazar, Michal Kucer, Yixin Wang, Emily Casleton, David Blei
- Published: 22 Jan 2025, Last Modified: 10 Mar 2025
- AISTATS 2025 Poster
- Readers: Everyone
Stochastic Rounding for LLM Training: Theory and Practice
Kaan Ozkara, Tao Yu, Youngsuk Park
- Published: 22 Jan 2025, Last Modified: 09 Mar 2025
- AISTATS 2025 Poster
- Readers: Everyone
Prepacking: A Simple Method for Fast Prefilling and Increased Throughput in Large Language Models
Siyan Zhao, Daniel Mingyi Israel, Guy Van den Broeck, Aditya Grover
- Published: 22 Jan 2025, Last Modified: 11 Mar 2025
- AISTATS 2025 Poster
- Readers: Everyone
M$^2$AD: Multi-Sensor Multi-System Anomaly Detection through Global Scoring and Calibrated Thresholding
Sarah Alnegheimish, Zelin He, Matthew Reimherr, Akash Chandrayan, Abhinav Pradhan, Luca D'Angelo
- Published: 22 Jan 2025, Last Modified: 10 Mar 2025
- AISTATS 2025 Poster
- Readers: Everyone
Cross-Modal Imputation and Uncertainty Estimation for Spatial Transcriptomics
Xiangyu Guo, Ricardo Henao
- Published: 22 Jan 2025, Last Modified: 16 Apr 2025
- AISTATS 2025 Poster
- Readers: Everyone
Graph Machine Learning based Doubly Robust Estimator for Network Causal Effects
Seyedeh Baharan Khatami, Harsh Parikh, Haowei Chen, Sudeepa Roy, Babak Salimi
- Published: 22 Jan 2025, Last Modified: 11 Mar 2025
- AISTATS 2025 Poster
- Readers: Everyone
On the Power of Multitask Representation Learning with Gradient Descent
Qiaobo Li, Zixiang Chen, Yihe Deng, Yiwen Kou, Yuan Cao, Quanquan Gu
- Published: 22 Jan 2025, Last Modified: 11 Mar 2025
- AISTATS 2025 Poster
- Readers: Everyone
Loss Gradient Gaussian Width based Generalization and Optimization Guarantees
Arindam Banerjee, Qiaobo Li, Yingxue Zhou
- Published: 22 Jan 2025, Last Modified: 11 Mar 2025
- AISTATS 2025 Oral
- Readers: Everyone