📃 Working Papers

WOMAC: A Mechanism For Prediction Competitions
Siddarth Srinivasan, Tao Lin, Connacher Murphy, Anish Thilagar, Yiling Chen, Ezra Karger
Working paper

PDF Cite

Learning to Coordinate Bidders in Non-Truthful Auctions
(Alphabet) Hu Fu, Tao Lin
Working paper

PDF Cite

📃 Journal Publications

Information Design with Large Language Models: An Annotated Reading List
Tao Lin, Safwan Hossain, Yiling Chen
ACM SIGecom Exchanges (2026)

Cite url

Generalized Principal-Agent Problem with a Learning Agent
Tao Lin, Yiling Chen
Forthcoming at Quantitative Economics

Conference version

From Monopoly to Competition: When Do Optimal Contests Prevail?
(Alphabet) Xiaotie Deng, Yotam Gafni, Ron Lavi, Tao Lin, Hongyi Ling
Games and Economic Behavior (2025)

PDF DOI URL

Private Data Manipulation in Sponsored Search Auctions
(Alphabet) Xiaotie Deng, Tao Lin, Tao Xiao
CAAI Artificial Intelligence Research (2023)

PDF DOI URL

📃 Conference 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

On the Coordination of Value-Maximizing Bidders
Yanru Guan, Jiahao Zhang, Zhe Feng, Tao Lin
International Conference on Machine Learning (ICML), 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

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

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

Learning Thresholds with Latent Values and Censored Feedback
Jiahao Zhang, Tao Lin, Weiqiang Zheng, Zhe Feng, Yifeng Teng, Xiaotie Deng
International Conference on Learning Representations (ICLR), 2024

PDF URL

Sample Complexity of Forecast Aggregation
Tao Lin, Yiling Chen
Neural Information Processing Systems (NeurIPS spotlight), 2023

PDF Poster arXiv video in Chinese

From Monopoly to Competition: Optimal Contests Prevail
(Alphabet) Xiaotie Deng, Yotam Gafni, Ron Lavi, Tao Lin, Hongyi Ling
AAAI Conference on Artificial Intelligence, 2023

PDF Poster URL

Nash Convergence of Mean-Based Learning Algorithms in First Price Auctions
(Alphabet) Xiaotie Deng, Xinyan Hu, Tao Lin, Weiqiang Zheng
The ACM Web Conference (WWW), 2022

PDF Slides URL arxiv 15-min video 2-min video by Xinyan

How Many Representatives Do We Need? The Optimal Size of a Congress Voting on Binary Issues
Manon Revel, Tao Lin, Daniel Halpern
AAAI Conference on Artificial Intelligence, 2022

URL

Learning Utilities and Equilibria in Non-Truthful Auctions
(Alphabet) Hu Fu, Tao Lin
Neural Information Processing Systems (NeurIPS), 2020

PDF arxiv

A Game-Theoretic Analysis of the Empirical Revenue Maximization Algorithm with Endogenous Sampling
(Alphabet) Xiaotie Deng, Ron Lavi, Tao Lin, Qi Qi, Wenwei Wang, Xiang Yan
Neural Information Processing Systems (NeurIPS), 2020

PDF arXiv

Private Data Manipulation in Optimal Sponsored Search Auction
(Alphabet) Xiaotie Deng, Tao Lin, Tao Xiao
The Web Conference (WWW), 2020

PDF URL

📝 Notes

How Does Independence Help Generalization? Sample Complexity of ERM on Product Distributions
Tao Lin

Cite URL

On Clearing Prices in Matching Markets: A Simple Characterization without Duality
(Alphabet) Xiaoming Li, Tao Lin

Cite URL