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 | 165 | 2014 |
New Analysis and Algorithm for Learning with Drifting Distributions M Mohri, AM Medina Arxiv preprint arXiv:1205.4343, 2012 | 139 | 2012 |
Machine learning and optimization A Munoz Courant Institute of Mathematical Sciences 2014, 1-2, 2014 | 130 | 2014 |
Revenue optimization with approximate bid predictions A Munoz, S Vassilvitskii Advances in Neural Information Processing Systems 30, 2017 | 111 | 2017 |
Adaptation based on generalized discrepancy C Cortes, M Mohri, AM Medina Journal of Machine Learning Research 20 (1), 1-30, 2019 | 81 | 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 | 71 | 2019 |
Optimal regret minimization in posted-price auctions with strategic buyers M Mohri, A Munoz Advances in Neural Information Processing Systems 27, 2014 | 68 | 2014 |
Learning algorithms for second-price auctions with reserve M Mohri, AM Medina Journal of Machine Learning Research 17 (74), 1-25, 2016 | 55 | 2016 |
Differentially private covariance estimation K Amin, T Dick, A Kulesza, A Munoz, S Vassilvitskii Advances in Neural Information Processing Systems 32, 2019 | 48 | 2019 |
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 | 48 | 2015 |
No-regret algorithms for heavy-tailed linear bandits AM Medina, S Yang International Conference on Machine Learning, 1642-1650, 2016 | 43 | 2016 |
Revenue optimization against strategic buyers M Mohri, A Munoz Advances in Neural Information Processing Systems 28, 2015 | 42 | 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 | 24 | 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 | 16 | 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 | 13 | 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 | 11 | 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 | 9 | 2022 |
Measures of cross-site re-identification risk: An analysis of the Topics API Proposal A Epasto, AM Medina, C Ilvento, J Karlin Technical Report. Google Research and Chrome, 2022 | 9 | 2022 |