A Game-Theoretic Analysis of the Empirical Revenue Maximization Algorithm with Endogenous Sampling. - Xiaotie Deng; Ron Lavi; Tao Lin 013; Qi Qi 003; Wenwei Wang; Xiang Yan (NeurIPS, 2020)

Learning Utilities and Equilibria in Non-Truthful Auctions. - Hu Fu 001; Tao Lin 013 (NeurIPS, 2020)

Private Data Manipulation in Optimal Sponsored Search Auction. - Xiaotie Deng; Tao Lin 013; Tao Xiao (WWW, 2020)

The Optimal Size of an Epistemic Congress. - Manon Revel; Tao Lin 013; Daniel Halpern 002 (CoRR, 2021)

How Many Representatives Do We Need? The Optimal Size of a Congress Voting on Binary Issues. - Manon Revel; Tao Lin 013; Daniel Halpern 002 (AAAI, 2022)

Nash Convergence of Mean-Based Learning Algorithms in First Price Auctions. - Xiaotie Deng; Xinyan Hu; Tao Lin 013; Weiqiang Zheng (WWW, 2022)

The Sample Complexity of Forecast Aggregation. - Yiling Chen 001; Tao Lin 013 (CoRR, 2022)

From Monopoly to Competition: Optimal Contests Prevail. - Xiaotie Deng; Yotam Gafni; Ron Lavi; Tao Lin 013; Hongyi Ling (AAAI, 2023)

Persuading a Behavioral Agent: Approximately Best Responding and Learning. - Yiling Chen 001; Tao Lin 013 (CoRR, 2023)

Learning Thresholds with Latent Values and Censored Feedback. - Jiahao Zhang; Tao Lin 013; Weiqiang Zheng; Zhe Feng 004; Yifeng Teng; Xiaotie Deng (ICLR, 2024)

Multi-Sender Persuasion: A Computational Perspective. - Safwan Hossain; Tonghan Wang 001; Tao Lin 013; Yiling Chen 001; David C. Parkes; Haifeng Xu (ICML, 2024)

Bias Detection via Signaling. - Yiling Chen 001; Tao Lin 013; Ariel D. Procaccia; Aaditya Ramdas; Itai Shapira (NeurIPS, 2024)

User-Creator Feature Polarization in Recommender Systems with Dual Influence. - Tao Lin 013; Kun Jin; Andrew Estornell; Xiaoying Zhang; Yiling Chen 001; Yang Liu 018 (NeurIPS, 2024)

User-Creator Feature Dynamics in Recommender Systems with Dual Influence. - Tao Lin 013; Kun Jin; Andrew Estornell; Xiaoying Zhang; Yiling Chen 001; Yang Liu 018 (CoRR, 2024)

From monopoly to competition: When do optimal contests prevail? - Xiaotie Deng; Yotam Gafni; Ron Lavi; Tao Lin 013; Hongyi Ling (Games Econ. Behav., 2025)