Tao Lin

According to our database, Tao Lin authored at least 10 papers between 2020 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2023

Learning Thresholds with Latent Values and Censored Feedback.

Jiahao Zhang, Tao Lin, Weiqiang Zheng, Zhe Feng, Yifeng Teng, Xiaotie Deng

CoRR, 2023

Persuading a Behavioral Agent: Approximately Best Responding and Learning.

Yiling Chen, Tao Lin

CoRR, 2023

From Monopoly to Competition: Optimal Contests Prevail.

Xiaotie Deng, Yotam Gafni, Ron Lavi, Tao Lin, Hongyi Ling

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

The Sample Complexity of Forecast Aggregation.

Yiling Chen, Tao Lin

CoRR, 2022

Nash Convergence of Mean-Based Learning Algorithms in First Price Auctions.

Xiaotie Deng, Xinyan Hu, Tao Lin, Weiqiang Zheng

Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

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 Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

The Optimal Size of an Epistemic Congress.

Manon Revel, Tao Lin, Daniel Halpern

CoRR, 2021

2020

Private Data Manipulation in Optimal Sponsored Search Auction.

Xiaotie Deng, Tao Lin, Tao Xiao

Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

Learning Utilities and Equilibria in Non-Truthful Auctions.

Hu Fu, Tao Lin

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

A Game-Theoretic Analysis of the Empirical Revenue Maximization Algorithm with Endogenous Sampling.

Xiaotie Deng, Ron Lavi, Tao Lin, Qi Qi, Wenwei Wang, Xiang Yan

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020