| Optimal auctions through deep learning P Dütting, Z Feng, H Narasimhan, D Parkes, SS Ravindranath International Conference on Machine Learning, 1706-1715, 2019 | 301 | 2019 |
| Deep learning for revenue-optimal auctions with budgets Z Feng, H Narasimhan, DC Parkes Proceedings of the 17th international conference on autonomous agents and …, 2018 | 132 | 2018 |
| Optimal auctions through deep learning P Dütting, Z Feng, H Narasimhan, DC Parkes, SS Ravindranath Communications of the ACM 64 (8), 109-116, 2021 | 90 | 2021 |
| Learning to bid without knowing your value Z Feng, C Podimata, V Syrgkanis Proceedings of the 2018 ACM Conference on Economics and Computation, 505-522, 2018 | 80 | 2018 |
| Markov persuasion processes and reinforcement learning J Wu, Z Zhang, Z Feng, Z Wang, Z Yang, MI Jordan, H Xu ACM Conference on Economics and Computation, 2022 | 66* | 2022 |
| Optimal auctions through deep learning: Advances in differentiable economics P Dütting, Z Feng, H Narasimhan, DC Parkes, SS Ravindranath Journal of the ACM 71 (1), 1-53, 2024 | 59 | 2024 |
| A context-integrated transformer-based neural network for auction design Z Duan, J Tang, Y Yin, Z Feng, X Yan, M Zaheer, X Deng International Conference on Machine Learning, 5609-5626, 2022 | 57 | 2022 |
| Online Bidding Algorithms for Return-on-Spend Constrained Advertisers✱ Z Feng, S Padmanabhan, D Wang Proceedings of the ACM Web Conference 2023, 3550-3560, 2023 | 45 | 2023 |
| Convergence analysis of no-regret bidding algorithms in repeated auctions Z Feng, G Guruganesh, C Liaw, A Mehta, A Sethi Proceedings of the AAAI Conference on Artificial Intelligence 35 (6), 5399-5406, 2021 | 43 | 2021 |
| The intrinsic robustness of stochastic bandits to strategic manipulation Z Feng, D Parkes, H Xu International Conference on Machine Learning, 3092-3101, 2020 | 43 | 2020 |
| Auto-bidding and auctions in online advertising: A survey G Aggarwal, A Badanidiyuru, SR Balseiro, K Bhawalkar, Y Deng, Z Feng, ... ACM SIGecom Exchanges 22 (1), 159-183, 2024 | 39 | 2024 |
| Deep learning for two-sided matching SS Ravindranath, Z Feng, S Li, J Ma, SD Kominers, DC Parkes arXiv preprint arXiv:2107.03427, 2021 | 36 | 2021 |
| Auctions with llm summaries A Dubey, Z Feng, R Kidambi, A Mehta, D Wang Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and …, 2024 | 27 | 2024 |
| Learning to Bid in Contextual First Price Auctions✱ A Badanidiyuru, Z Feng, G Guruganesh Proceedings of the ACM Web Conference 2023, 3489-3497, 2023 | 25 | 2023 |
| Online learning for measuring incentive compatibility in ad auctions? Z Feng, O Schrijvers, E Sodomka The World Wide Web Conference, 2729-2735, 2019 | 24 | 2019 |
| Understanding PPA-completeness X Deng, JR Edmonds, Z Feng, Z Liu, Q Qi, Z Xu Journal of Computer and System Sciences 115, 146-168, 2021 | 23 | 2021 |
| Octahedral Tucker is PPA-complete X Deng, Z Feng, R Kulkarni Electronic Colloquium on Computational Complexity (ECCC) 24, 118, 2017 | 22 | 2017 |
| An adaptive independence sampler MCMC algorithm for Bayesian inferences of functions Z Feng, J Li SIAM Journal on Scientific Computing 40 (3), A1301-A1321, 2018 | 17* | 2018 |
| Reserve price optimization for first price auctions in display advertising Z Feng, S Lahaie, J Schneider, J Ye International Conference on Machine Learning, 3230-3239, 2021 | 16* | 2021 |
| Improved online learning algorithms for ctr prediction in ad auctions Z Feng, C Liaw, Z Zhou International Conference on Machine Learning, 9921-9937, 2023 | 12 | 2023 |
David C. ParkesGeorge F. Colony Professor of Computer Science, John A. Paulson Dean, Harvard UniversityVerified email at eecs.harvard.edu
