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