| Provably efficient Q-learning with function approximation via distribution shift error checking oracle SS Du, Y Luo, R Wang, H Zhang Advances in Neural Information Processing Systems 32, 2019 | 113 | 2019 |
| Mitigating manipulation in peer review via randomized reviewer assignments S Jecmen, H Zhang, R Liu, N Shah, V Conitzer, F Fang Advances in Neural Information Processing Systems 33, 12533-12545, 2020 | 99 | 2020 |
| Incentive-aware pac learning H Zhang, V Conitzer Proceedings of the AAAI Conference on Artificial Intelligence 35 (6), 5797-5804, 2021 | 59 | 2021 |
| 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 |
| Efficiency of the first-price auction in the autobidding world Y Deng, J Mao, V Mirrokni, H Zhang, S Zuo Advances in Neural Information Processing Systems 37, 139270-139293, 2024 | 38 | 2024 |
| Automated dynamic mechanism design H Zhang, V Conitzer Advances in Neural Information Processing Systems 34, 27785-27797, 2021 | 22 | 2021 |
| Approximation-variance tradeoffs in facility location games A Procaccia, D Wajc, H Zhang Proceedings of the AAAI Conference on Artificial Intelligence 32 (1), 2018 | 19* | 2018 |
| Classification with strategically withheld data AK Krishnaswamy, H Li, D Rein, H Zhang, V Conitzer Proceedings of the AAAI Conference on Artificial Intelligence 35 (6), 5514-5522, 2021 | 18 | 2021 |
| Efficient near-optimal algorithms for barter exchange Z Jia, P Tang, R Wang, H Zhang Proceedings of the 16th conference on autonomous agents and multiagent …, 2017 | 18 | 2017 |
| When samples are strategically selected H Zhang, Y Cheng, V Conitzer International Conference on Machine Learning, 7345-7353, 2019 | 17 | 2019 |
| Near-optimal reviewer splitting in two-phase paper reviewing and conference experiment design S Jecmen, H Zhang, R Liu, F Fang, V Conitzer, NB Shah Proceedings of the AAAI conference on human computation and crowdsourcing 10 …, 2022 | 16 | 2022 |
| Automated mechanism design for classification with partial verification H Zhang, Y Cheng, V Conitzer Proceedings of the AAAI Conference on Artificial Intelligence 35 (6), 5789-5796, 2021 | 16 | 2021 |
| A PAC framework for aggregating agents’ judgments H Zhang, V Conitzer Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 2237-2244, 2019 | 16 | 2019 |
| An Improved Algorithm for Incremental DFS Tree in Undirected Graphs L Chen, R Duan, R Wang, H Zhang, T Zhang arXiv preprint arXiv:1607.04913, 2016 | 16* | 2016 |
| Autobidding auctions in the presence of user costs Y Deng, J Mao, V Mirrokni, H Zhang, S Zuo Proceedings of the ACM Web Conference 2023, 3428-3435, 2023 | 14 | 2023 |
| Computational aspects of bayesian persuasion under approximate best response K Yang, H Zhang Advances in Neural Information Processing Systems 37, 134430-134458, 2024 | 13 | 2024 |
| Efficiency of the generalized second-price auction for value maximizers Y Deng, M Mahdian, J Mao, V Mirrokni, H Zhang, S Zuo Proceedings of the ACM Web Conference 2024, 46-56, 2024 | 13 | 2024 |
| Posted pricing and dynamic prior-independent mechanisms with value maximizers Y Deng, V Mirrokni, H Zhang Advances in Neural Information Processing Systems 35, 24158-24169, 2022 | 12 | 2022 |
| Improved prophet inequalities for combinatorial welfare maximization with (approximately) subadditive agents H Zhang Journal of Computer and System Sciences 123, 143-156, 2022 | 12 | 2022 |
| Learning the Valuations of a -demand Agent H Zhang, V Conitzer International Conference on Machine Learning, 11066-11075, 2020 | 12 | 2020 |
Vincent ConitzerProfessor of CS, Carnegie Mellon University; Professor of CS and Philosophy, University of OxfordVerified email at cs.cmu.edu
