| Learning theory and algorithms for revenue optimization in second price auctions with reserve M Mohri, AM Medina International conference on machine learning, 262-270, 2014 | 168 | 2014 |
| New Analysis and Algorithm for Learning with Drifting Distributions M Mohri, AM Medina Arxiv preprint arXiv:1205.4343, 2012 | 144 | 2012 |
| Machine learning and optimization A Munoz Courant Institute of Mathematical Sciences 2014, 1-2, 2014 | 133 | 2014 |
| Revenue optimization with approximate bid predictions A Munoz, S Vassilvitskii Advances in Neural Information Processing Systems 30, 2017 | 116 | 2017 |
| Adaptation based on generalized discrepancy C Cortes, M Mohri, AM Medina Journal of Machine Learning Research 20 (1), 1-30, 2019 | 86 | 2019 |
| Bounding user contributions: A bias-variance trade-off in differential privacy K Amin, A Kulesza, A Munoz, S Vassilvtiskii International Conference on Machine Learning, 263-271, 2019 | 79 | 2019 |
| Optimal regret minimization in posted-price auctions with strategic buyers M Mohri, A Munoz Advances in Neural Information Processing Systems 27, 2014 | 71 | 2014 |
| Learning algorithms for second-price auctions with reserve M Mohri, AM Medina Journal of Machine Learning Research 17 (74), 1-25, 2016 | 57 | 2016 |
| Adaptation algorithm and theory based on generalized discrepancy C Cortes, M Mohri, A Muñoz Medina Proceedings of the 21th ACM SIGKDD International Conference on Knowledge …, 2015 | 52 | 2015 |
| Differentially private covariance estimation K Amin, T Dick, A Kulesza, A Munoz, S Vassilvitskii Advances in Neural Information Processing Systems 32, 2019 | 51 | 2019 |
| No-regret algorithms for heavy-tailed linear bandits AM Medina, S Yang International Conference on Machine Learning, 1642-1650, 2016 | 45 | 2016 |
| Revenue optimization against strategic buyers M Mohri, A Munoz Advances in Neural Information Processing Systems 28, 2015 | 44 | 2015 |
| Differentially private continual releases of streaming frequency moment estimations A Epasto, J Mao, AM Medina, V Mirrokni, S Vassilvitskii, P Zhong arXiv preprint arXiv:2301.05605, 2023 | 28 | 2023 |
| Clustering for private interest-based advertising A Epasto, A Muñoz Medina, S Avery, Y Bai, R Busa-Fekete, CJ Carey, ... Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data …, 2021 | 21 | 2021 |
| Testing incentive compatibility in display ad auctions S Lahaie, A Munoz Medina, B Sivan, S Vassilvitskii Proceedings of the 2018 World Wide Web Conference, 1419-1428, 2018 | 18 | 2018 |
| Non-parametric revenue optimization for generalized second price auctions M Mohri, AM Medina arXiv preprint arXiv:1506.02719, 2015 | 17 | 2015 |
| Scalable differentially private clustering via hierarchically separated trees V Cohen-Addad, A Epasto, S Lattanzi, V Mirrokni, A Munoz Medina, ... Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and …, 2022 | 16 | 2022 |
| Measuring re-identification risk CJ Carey, T Dick, A Epasto, A Javanmard, J Karlin, S Kumar, ... Proceedings of the ACM on Management of Data 1 (2), 1-26, 2023 | 14 | 2023 |
| A Joint Exponential Mechanism For Differentially Private Top- J Gillenwater, M Joseph, A Munoz, MR Diaz International Conference on Machine Learning, 7570-7582, 2022 | 12 | 2022 |
| Duff: A dataset-distance-based utility function family for the exponential mechanism AM Medina, J Gillenwater arXiv preprint arXiv:2010.04235, 2020 | 11 | 2020 |
