Tao Lin

26 papers A* 10Journal 16
YearRankTypeTitle / Venue / Authors
2025 J jnl
A Unified Approach to Submodular Maximization Under Noise.
CoRR
Kshipra Bhawalkar, Yang Cai, Zhe Feng, Christopher Liaw, Tao Lin
2025 J jnl
From monopoly to competition: When do optimal contests prevail?
Games Econ. Behav.
Xiaotie Deng, Yotam Gafni, Ron Lavi, Tao Lin, Hongyi Ling
2025 J jnl
Information Design With Large Language Models.
CoRR
Paul Duetting, Safwan Hossain, Tao Lin, Renato Paes Leme, Sai Srivatsa Ravindranath, Haifeng Xu, Song Zuo
2025 J jnl
Learning to Play Multi-Follower Bayesian Stackelberg Games.
CoRR
Gerson Personnat, Tao Lin, Safwan Hossain, David C. Parkes
2025 J jnl
On the Coordination of Value-Maximizing Bidders.
CoRR
Yanru Guan, Jiahao Zhang, Zhe Feng, Tao Lin
2024 J jnl
Bias Detection Via Signaling.
CoRR
Yiling Chen, Tao Lin, Ariel D. Procaccia, Aaditya Ramdas, Itai Shapira
2024 A* conf
Bias Detection via Signaling.
NeurIPS
Yiling Chen, Tao Lin, Ariel D. Procaccia, Aaditya Ramdas, Itai Shapira
2024 A* conf
Learning Thresholds with Latent Values and Censored Feedback.
ICLR
Jiahao Zhang, Tao Lin, Weiqiang Zheng, Zhe Feng, Yifeng Teng, Xiaotie Deng
2024 J jnl
Multi-Sender Persuasion - A Computational Perspective.
CoRR
Safwan Hossain, Tonghan Wang, Tao Lin, Yiling Chen, David C. Parkes, Haifeng Xu
2024 A* conf
Multi-Sender Persuasion: A Computational Perspective.
ICML
Safwan Hossain, Tonghan Wang, Tao Lin, Yiling Chen, David C. Parkes, Haifeng Xu
2024 J jnl
User-Creator Feature Dynamics in Recommender Systems with Dual Influence.
CoRR
Tao Lin, Kun Jin, Andrew Estornell, Xiaoying Zhang, Yiling Chen, Yang Liu
2024 A* conf
User-Creator Feature Polarization in Recommender Systems with Dual Influence.
NeurIPS
Tao Lin, Kun Jin, Andrew Estornell, Xiaoying Zhang, Yiling Chen, Yang Liu
2023 A* conf
From Monopoly to Competition: Optimal Contests Prevail.
AAAI
Xiaotie Deng, Yotam Gafni, Ron Lavi, Tao Lin, Hongyi Ling
2023 J jnl
Learning Thresholds with Latent Values and Censored Feedback.
CoRR
Jiahao Zhang, Tao Lin, Weiqiang Zheng, Zhe Feng, Yifeng Teng, Xiaotie Deng
2023 J jnl
Persuading a Behavioral Agent: Approximately Best Responding and Learning.
CoRR
Yiling Chen, Tao Lin
2022 A* conf
How Many Representatives Do We Need? The Optimal Size of a Congress Voting on Binary Issues.
AAAI
Manon Revel, Tao Lin, Daniel Halpern
2022 A* conf
Nash Convergence of Mean-Based Learning Algorithms in First Price Auctions.
WWW
Xiaotie Deng, Xinyan Hu, Tao Lin, Weiqiang Zheng
2022 J jnl
The Sample Complexity of Forecast Aggregation.
CoRR
Yiling Chen, Tao Lin
2021 J jnl
From Monopoly to Competition: Optimal Contests Prevail.
CoRR
Xiaotie Deng, Yotam Gafni, Ron Lavi, Tao Lin, Hongyi Ling
2021 J jnl
Nash Convergence of Mean-Based Learning Algorithms in First Price Auctions.
CoRR
Xiaotie Deng, Xinyan Hu, Tao Lin, Weiqiang Zheng
2021 J jnl
The Optimal Size of an Epistemic Congress.
CoRR
Manon Revel, Tao Lin, Daniel Halpern
2020 A* conf
A Game-Theoretic Analysis of the Empirical Revenue Maximization Algorithm with Endogenous Sampling.
NeurIPS
Xiaotie Deng, Ron Lavi, Tao Lin, Qi Qi, Wenwei Wang, Xiang Yan
2020 J jnl
A Game-Theoretic Analysis of the Empirical Revenue Maximization Algorithm with Endogenous Sampling.
CoRR
Xiaotie Deng, Ron Lavi, Tao Lin, Qi Qi, Wenwei Wang, Xiang Yan
2020 A* conf
Learning Utilities and Equilibria in Non-Truthful Auctions.
NeurIPS
Hu Fu, Tao Lin
2020 J jnl
Learning Utilities and Equilibria in Non-Truthful Auctions.
CoRR
Hu Fu, Tao Lin
2020 A* conf
Private Data Manipulation in Optimal Sponsored Search Auction.
WWW
Xiaotie Deng, Tao Lin, Tao Xiao