Nash convergence of mean-based learning algorithms in first price auctions X Deng, X Hu, T Lin, W Zheng Proceedings of the ACM Web Conference 2022, 141-150, 2022 | 11 | 2022 |
Learning utilities and equilibria in non-truthful auctions H Fu, T Lin Advances in Neural Information Processing Systems 33, 14231-14242, 2020 | 11 | 2020 |
The Optimal Size of an Epistemic Congress M Revel, T Lin, D Halpern arXiv preprint arXiv:2107.01042, 2021 | 5 | 2021 |
Private data manipulation in optimal sponsored search auction X Deng, T Lin, T Xiao Proceedings of The Web Conference 2020, 2676-2682, 2020 | 5 | 2020 |
Persuading a behavioral agent: Approximately best responding and learning Y Chen, T Lin arXiv preprint arXiv:2302.03719, 2023 | 4 | 2023 |
A Game-Theoretic Analysis of the Empirical Revenue Maximization Algorithm with Endogenous Sampling X Deng, R Lavi, T Lin, Q Qi, W Wang, X Yan Advances in Neural Information Processing Systems 33, 5215-5226, 2020 | 4 | 2020 |
From monopoly to competition: optimal contests prevail X Deng, Y Gafni, R Lavi, T Lin, H Ling Proceedings of the AAAI Conference on Artificial Intelligence 37 (5), 5608-5615, 2023 | 3 | 2023 |
How Many Representatives Do We Need? The Optimal Size of a Congress Voting on Binary Issues M Revel, T Lin, D Halpern Proceedings of the AAAI Conference on Artificial Intelligence 36 (9), 9431-9438, 2022 | 3 | 2022 |
Persuading a Learning Agent T Lin, Y Chen arXiv preprint arXiv:2402.09721, 2024 | 1 | 2024 |
Sample Complexity of Forecast Aggregation T Lin, Y Chen Advances in Neural Information Processing Systems 36, 2024 | | 2024 |
Learning Thresholds with Latent Values and Censored Feedback J Zhang, T Lin, W Zheng, Z Feng, Y Teng, X Deng arXiv preprint arXiv:2312.04653, 2023 | | 2023 |
How Does Independence Help Generalization? Sample Complexity of ERM on Product Distributions T Lin arXiv preprint arXiv:2212.06422, 2022 | | 2022 |
On Clearing Prices in Matching Markets: A Simple Characterization without Duality X Li, T Lin arXiv preprint arXiv:1912.00786, 2019 | | 2019 |