📃 Working Papers

Information Design With Large Language Models
(Alphabet) Paul Duetting, Safwan Hossain, Tao Lin, Renato Paes Leme, Sai Srivatsa Ravindranath, Haifeng Xu, Song Zuo
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Learning to Play Multi-Follower Bayesian Stackelberg Games
Gerson Personnat, Tao Lin, Safwan Hossain, David C. Parkes
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WOMAC: A Mechanism For Prediction Competitions
Siddarth Srinivasan, Tao Lin, Connacher Murphy, Anish Thilagar, Yiling Chen, Ezra Karger
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Explainable Information Design
(Alphabet) Yiling Chen, Tao Lin, Wei Tang, Jamie Tucker-Foltz
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Learning to Coordinate Bidders in Non-Truthful Auctions
(Alphabet) Hu Fu, Tao Lin
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Learning a Game by Paying the Agents
Brian Hu Zhang*, Tao Lin*, Yiling Chen, Tuomas Sandholm
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📃 Conference Publications

A Unified Approach to Submodular Maximization Under Noise
(Alphabet) Kshipra Bhawalkar, Yang Cai, Zhe Feng, Christopher Liaw, Tao Lin
Advances in Neural Information Processing Systems (NeurIPS), 2025

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Generalized Principal-Agent Problem with a Learning Agent
Tao Lin, Yiling Chen
International Conference on Learning Representations (ICLR spotlight), 2025

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Information Design with Unknown Prior
Tao Lin, Ce Li
Proceedings of Innovations in Theoretical Computer Science (ITCS), 2025

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User-Creator Feature Polarization in Recommender Systems with Dual Influence
Tao Lin, Kun Jin, Andrew Estornell, Xiaoying Zhang, Yiling Chen, Yang Liu
Advances in Neural Information Processing Systems (NeurIPS), 2024

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Bias Detection via Signaling
(Alphabet) Yiling Chen, Tao Lin, Ariel D. Procaccia, Aaditya Ramdas, Itai Shapira
Advances in Neural Information Processing Systems (NeurIPS), 2024

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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

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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

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

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

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

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

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

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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
Advances in Neural Information Processing Systems (NeurIPS), 2020

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

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📃 Journal Publications

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

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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)

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📝 Notes

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

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

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