Conference Publications |

User-Creator Feature Polarization in Recommender Systems with Dual Influence
Tao Lin, Kun Jin, Andrew Estornell, Xiaoying Zhang, Yiling Chen, Yang Liu
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
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
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
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
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
AAAI Conference on Artificial Intelligence, 2022

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

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