| Differentially private fair learning M Jagielski, M Kearns, J Mao, A Oprea, A Roth, S Sharifi-Malvajerdi, ... International Conference on Machine Learning, 3000-3008, 2019 | 183 | 2019 |
| The role of interactivity in local differential privacy M Joseph, J Mao, S Neel, A Roth 2019 IEEE 60th Annual Symposium on Foundations of Computer Science (FOCS …, 2019 | 92 | 2019 |
| Selling to a no-regret buyer M Braverman, J Mao, J Schneider, M Weinberg Proceedings of the 2018 ACM Conference on Economics and Computation, 523-538, 2018 | 85 | 2018 |
| Parallel algorithms for select and partition with noisy comparisons M Braverman, J Mao, SM Weinberg Proceedings of the forty-eighth annual ACM symposium on Theory of Computing …, 2016 | 71 | 2016 |
| Towards efficient auctions in an auto-bidding world Y Deng, J Mao, V Mirrokni, S Zuo Proceedings of the Web Conference 2021, 3965-3973, 2021 | 64 | 2021 |
| Robust auction design in the auto-bidding world S Balseiro, Y Deng, J Mao, V Mirrokni, S Zuo Advances in Neural Information Processing Systems 34, 17777-17788, 2021 | 60 | 2021 |
| The landscape of auto-bidding auctions: Value versus utility maximization SR Balseiro, Y Deng, J Mao, VS Mirrokni, S Zuo Proceedings of the 22nd ACM Conference on Economics and Computation, 132-133, 2021 | 56 | 2021 |
| Coding for interactive communication correcting insertions and deletions M Braverman, R Gelles, J Mao, R Ostrovsky IEEE Transactions on Information Theory 63 (10), 6256-6270, 2017 | 56 | 2017 |
| Contextual pricing for lipschitz buyers J Mao, R Leme, J Schneider Advances in Neural Information Processing Systems 31, 2018 | 55 | 2018 |
| A Nearly Instance Optimal Algorithm for Top-k Ranking under the Multinomial Logit Model X Chen, Y Li, J Mao Proceedings of the Twenty-Ninth Annual ACM-SIAM Symposium on Discrete …, 2018 | 53 | 2018 |
| Incentivizing exploration with selective data disclosure N Immorlica, J Mao, A Slivkins, ZS Wu arXiv preprint arXiv:1811.06026, 2018 | 50 | 2018 |
| Connecting robust shuffle privacy and pan-privacy V Balcer, A Cheu, M Joseph, J Mao Proceedings of the 2021 ACM-SIAM Symposium on Discrete Algorithms (SODA …, 2021 | 47 | 2021 |
| Bayesian exploration with heterogeneous agents N Immorlica, J Mao, A Slivkins, ZS Wu The world wide web conference, 751-761, 2019 | 47 | 2019 |
| Locally private gaussian estimation M Joseph, J Kulkarni, J Mao, SZ Wu Advances in Neural Information Processing Systems 32, 2019 | 46 | 2019 |
| Near-optimal bounds on the bounded-round quantum communication complexity of disjointness M Braverman, A Garg, YK Ko, J Mao, D Touchette SIAM Journal on Computing 47 (6), 2277-2314, 2018 | 42 | 2018 |
| Multi-armed bandit problems with strategic arms M Braverman, J Mao, J Schneider, SM Weinberg Conference on Learning Theory, 383-416, 2019 | 41 | 2019 |
| Competitive analysis of the top-K ranking problem X Chen, S Gopi, J Mao, J Schneider Proceedings of the Twenty-Eighth Annual ACM-SIAM Symposium on Discrete …, 2017 | 40 | 2017 |
| Pan-private uniformity testing K Amin, M Joseph, J Mao Conference on Learning Theory, 183-218, 2020 | 36 | 2020 |
| Exponential separations in local differential privacy M Joseph, J Mao, A Roth Proceedings of the Fourteenth Annual ACM-SIAM Symposium on Discrete …, 2020 | 33 | 2020 |
| Tighter relations between sensitivity and other complexity measures A Ambainis, M Bavarian, Y Gao, J Mao, X Sun, S Zuo Automata, Languages, and Programming: 41st International Colloquium, ICALP …, 2014 | 32 | 2014 |
