Conference Publications |

Learning a Game by Paying the Agents
Brian Hu Zhang*, Tao Lin*, Yiling Chen, Tuomas Sandholm
International Conference on Learning Representations (ICLR), 2026

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Learning to Play Multi-Follower Bayesian Stackelberg Games
Gerson Personnat, Tao Lin, Safwan Hossain, David C. Parkes
International Conference on Learning Representations (ICLR), 2026

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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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