Publications

Tao Lin, Yiling Chen (2025). Generalized Principal-Agent Problem with a Learning Agent. International Conference on Learning Representations (ICLR).
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Tao Lin, Ce Li (2025). Information Design with Unknown Prior. Proceedings of Innovations in Theoretical Computer Science (ITCS).
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Tao Lin, Kun Jin, Andrew Estornell, Xiaoying Zhang, Yiling Chen, Yang Liu (2024). User-Creator Feature Polarization in Recommender Systems with Dual Influence. Advances in Neural Information Processing Systems (NeurIPS).
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(Alphabetical) Yiling Chen, Tao Lin, Ariel D. Procaccia, Aaditya Ramdas, Itai Shapira (2024). Bias Detection via Signaling. Advances in Neural Information Processing Systems (NeurIPS).
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Safwan Hossain*, Tonghan Wang*, Tao Lin*, Yiling Chen, David C. Parkes, Haifeng Xu (2024). Multi-Sender Persuasion: A Computational Perspective. International Conference on Machine Learning (ICML).
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Jiahao Zhang, Tao Lin, Weiqiang Zheng, Zhe Feng, Yifeng Teng, Xiaotie Deng (2024). Learning Thresholds with Latent Values and Censored Feedback. International Conference on Learning Representations (ICLR).
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Tao Lin, Yiling Chen (2023). Sample Complexity of Forecast Aggregation. Advances in Neural Information Processing Systems (NeurIPS spotlight).
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(Alphabetical) Xiaotie Deng, Yotam Gafni, Ron Lavi, Tao Lin, Hongyi Ling (2023). From Monopoly to Competition: Optimal Contests Prevail. Proceedings of the AAAI Conference on Artificial Intelligence.
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(Alphabetical) Xiaotie Deng, Xinyan Hu, Tao Lin, Weiqiang Zheng (2022). Nash Convergence of Mean-Based Learning Algorithms in First Price Auctions. Proceedings of the ACM Web Conference (WWW).
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Manon Revel, Tao Lin, Daniel Halpern (2022). How Many Representatives Do We Need? The Optimal Size of a Congress Voting on Binary Issues. Proceedings of the AAAI Conference on Artificial Intelligence.
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