Conference Publications

This page is for conference publications. See here for other publications.

Reward Shaping for Inference-Time Alignment: A Stackelberg Game Perspective
Haichuan Wang, Tao Lin, Lingkai Kong, Ce Li, Hezi Jiang, Milind Tambe
International Conference on Machine Learning (ICML), 2026
PDF
On the Coordination of Value-Maximizing Bidders
Yanru Guan, Jiahao Zhang, Zhe Feng, Tao Lin
International Conference on Machine Learning (ICML), 2026
PDF
Learning a Game by Paying the Agents
Brian Hu Zhang*, Tao Lin*, Yiling Chen, Tuomas Sandholm
International Conference on Learning Representations (ICLR), 2026
PDF URL
Learning to Play Multi-Follower Bayesian Stackelberg Games
Gerson Personnat, Tao Lin, Safwan Hossain, David C. Parkes
International Conference on Learning Representations (ICLR), 2026
PDF URL
A Unified Approach to Submodular Maximization Under Noise
(Alphabet) Kshipra Bhawalkar, Yang Cai, Zhe Feng, Christopher Liaw, Tao Lin
Neural Information Processing Systems (NeurIPS), 2025
PDF URL
Generalized Principal-Agent Problem with a Learning Agent
Tao Lin, Yiling Chen
International Conference on Learning Representations (ICLR spotlight), 2025
PDF Poster Slides URL
Information Design with Unknown Prior
Tao Lin, Ce Li
Innovations in Theoretical Computer Science (ITCS), 2025
PDF Video URL
User-Creator Feature Polarization in Recommender Systems with Dual Influence
Tao Lin, Kun Jin, Andrew Estornell, Xiaoying Zhang, Yiling Chen, Yang Liu
Neural Information Processing Systems (NeurIPS), 2024
PDF Poster Slides URL
Bias Detection via Signaling
(Alphabet) Yiling Chen, Tao Lin, Ariel D. Procaccia, Aaditya Ramdas, Itai Shapira
Neural Information Processing Systems (NeurIPS), 2024
PDF URL
Multi-Sender Persuasion: A Computational Perspective
Safwan Hossain*, Tonghan Wang*, Tao Lin*, Yiling Chen, David C. Parkes, Haifeng Xu
International Conference on Machine Learning (ICML), 2024
PDF URL