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Tao Lin 0013
Person information
- affiliation: Harvard University, Cambridge, MA, USA
Other persons with the same name
- Tao Lin — disambiguation page
- Tao Lin 0001
— Communication University of China, State Key Laboratory of Media Convergence and Communication, Beijing, China (and 2 more)
- Tao Lin 0002 — University of Melbourne, Australia
- Tao Lin 0003
— Virginia Tech, Blacksburg, VA, USA
- Tao Lin 0004
— EPFL, Lausanne, Switzerland
- Tao Lin 0005
— Tongji University, College of Electronics and Information Engineering, Shanghai, China (and 2 more)
- Tao Lin 0006 — Waseda University, Tokyo, Japan (and 1 more)
- Tao Lin 0007 — Iowa State University, Department of Electrical and Computer Engineering, Ames, IA, USA
- Tao Lin 0008
— Zhejiang University, College of Biosystems Engineering and Food Science, Hangzhou, China (and 2 more)
- Tao Lin 0009
— CAS Institute of Urban Environment, Key Lab of Urban Environment and Health, Xiamen, China
- Tao Lin 0010 — Amitive Inc., Redwood City, CA, USA
- Tao Lin 0011 — Shanghai Jiao Tong University, Welding Engineering Institute of Material Science and Engineering, China
- Tao Lin 0012 — University of Regina, Department of Computer Science, SK, Canada
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2020 – today
- 2024
- [c7]Jiahao Zhang, Tao Lin, Weiqiang Zheng, Zhe Feng, Yifeng Teng, Xiaotie Deng:
Learning Thresholds with Latent Values and Censored Feedback. ICLR 2024 - [i10]Safwan Hossain, Tonghan Wang, Tao Lin, Yiling Chen, David C. Parkes, Haifeng Xu:
Multi-Sender Persuasion - A Computational Perspective. CoRR abs/2402.04971 (2024) - [i9]Yiling Chen, Tao Lin, Ariel D. Procaccia, Aaditya Ramdas, Itai Shapira:
Bias Detection Via Signaling. CoRR abs/2405.17694 (2024) - 2023
- [c6]Xiaotie Deng, Yotam Gafni, Ron Lavi, Tao Lin, Hongyi Ling:
From Monopoly to Competition: Optimal Contests Prevail. AAAI 2023: 5608-5615 - [i8]Yiling Chen, Tao Lin:
Persuading a Behavioral Agent: Approximately Best Responding and Learning. CoRR abs/2302.03719 (2023) - [i7]Jiahao Zhang, Tao Lin, Weiqiang Zheng, Zhe Feng, Yifeng Teng, Xiaotie Deng:
Learning Thresholds with Latent Values and Censored Feedback. CoRR abs/2312.04653 (2023) - 2022
- [c5]Manon Revel, Tao Lin, Daniel Halpern:
How Many Representatives Do We Need? The Optimal Size of a Congress Voting on Binary Issues. AAAI 2022: 9431-9438 - [c4]Xiaotie Deng, Xinyan Hu
, Tao Lin, Weiqiang Zheng
:
Nash Convergence of Mean-Based Learning Algorithms in First Price Auctions. WWW 2022: 141-150 - [i6]Yiling Chen, Tao Lin:
The Sample Complexity of Forecast Aggregation. CoRR abs/2207.13126 (2022) - 2021
- [i5]Manon Revel, Tao Lin, Daniel Halpern:
The Optimal Size of an Epistemic Congress. CoRR abs/2107.01042 (2021) - [i4]Xiaotie Deng, Yotam Gafni, Ron Lavi, Tao Lin, Hongyi Ling:
From Monopoly to Competition: Optimal Contests Prevail. CoRR abs/2107.13363 (2021) - [i3]Xiaotie Deng, Xinyan Hu, Tao Lin, Weiqiang Zheng:
Nash Convergence of Mean-Based Learning Algorithms in First Price Auctions. CoRR abs/2110.03906 (2021) - 2020
- [c3]Xiaotie Deng, Ron Lavi, Tao Lin, Qi Qi, Wenwei Wang, Xiang Yan:
A Game-Theoretic Analysis of the Empirical Revenue Maximization Algorithm with Endogenous Sampling. NeurIPS 2020 - [c2]Hu Fu, Tao Lin:
Learning Utilities and Equilibria in Non-Truthful Auctions. NeurIPS 2020 - [c1]Xiaotie Deng, Tao Lin, Tao Xiao:
Private Data Manipulation in Optimal Sponsored Search Auction. WWW 2020: 2676-2682 - [i2]Hu Fu, Tao Lin:
Learning Utilities and Equilibria in Non-Truthful Auctions. CoRR abs/2007.01722 (2020) - [i1]Xiaotie Deng, Ron Lavi, Tao Lin, Qi Qi, Wenwei Wang, Xiang Yan:
A Game-Theoretic Analysis of the Empirical Revenue Maximization Algorithm with Endogenous Sampling. CoRR abs/2010.05519 (2020)
Coauthor Index
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last updated on 2024-08-22 20:48 CEST by the dblp team
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