Conference Publications

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

Explainable Information Design
(Alphabet) Yiling Chen, Tao Lin, Wei Tang, Jamie Tucker-Foltz
Economics and Computation (EC), 2026
PDF
Information Design With Large Language Models
(Alphabet) Paul Duetting, Safwan Hossain, Tao Lin, Renato Paes Leme, Sai Srivatsa Ravindranath, Haifeng Xu, Song Zuo
Economics and Computation (EC), 2026
PDF Slides
Gradient Dynamics in First-Price Auctions: Iterative Strategy Elimination via Cubic Potentials
Mete Şeref Ahunbay, Weiqiang Zheng, Tao Lin
Economics and Computation (EC), 2026
PDF
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
Ce Li, Tao Lin
Innovations in Theoretical Computer Science (ITCS), 2025
PDF Video URL