| 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 | 145 | 2014 |
| Machine learning and optimization A Munoz URL: https://www. cims. nyu. edu/~ munoz/files/ml_optimization. pdf …, 2014 | 110 | 2014 |
| New Analysis and Algorithm for Learning with Drifting Distributions M Mohri, AM Medina Arxiv preprint arXiv:1205.4343, 2012 | 95 | 2012 |
| Revenue optimization with approximate bid predictions A Munoz, S Vassilvitskii Advances in Neural Information Processing Systems 30, 2017 | 82 | 2017 |
| Optimal regret minimization in posted-price auctions with strategic buyers M Mohri, A Munoz Advances in Neural Information Processing Systems 27, 2014 | 62 | 2014 |
| Adaptation based on generalized discrepancy C Cortes, M Mohri, AM Medina The Journal of Machine Learning Research 20 (1), 1-30, 2019 | 60 | 2019 |
| Learning algorithms for second-price auctions with reserve M Mohri, AM Medina The Journal of Machine Learning Research 17 (1), 2632-2656, 2016 | 40 | 2016 |
| 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 | 39 | 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 | 37 | 2015 |
| Revenue optimization against strategic buyers M Mohri, A Munoz Advances in Neural Information Processing Systems 28, 2015 | 35 | 2015 |
| Differentially private covariance estimation K Amin, T Dick, A Kulesza, A Munoz, S Vassilvitskii Advances in Neural Information Processing Systems 32, 2019 | 31 | 2019 |
| No-regret algorithms for heavy-tailed linear bandits AM Medina, S Yang International Conference on Machine Learning, 1642-1650, 2016 | 25 | 2016 |
| 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 | 17 | 2018 |
| Non-parametric revenue optimization for generalized second price auctions M Mohri, AM Medina arXiv preprint arXiv:1506.02719, 2015 | 15 | 2015 |
| 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 | 8 | 2021 |
| Private covariance estimation via iterative eigenvector sampling K Amin, T Dick, A Kulesza, AM Medina, S Vassilvitskii 2018 NIPS workshop in Privacy-Preserving Machine Learning 250, 2018 | 7 | 2018 |
| Duff: A dataset-distance-based utility function family for the exponential mechanism AM Medina, J Gillenwater arXiv preprint arXiv:2010.04235, 2020 | 6 | 2020 |
| On the pitfalls of label differential privacy RI Busa-Fekete, U Syed, S Vassilvitskii NeurIPS 2021 Workshop LatinX in AI, 2021 | 4 | 2021 |
| Learning battery consumption of mobile devices P Eastham, AM Medina, A Sharma, U Syed, S Vassilvitskii, F Yu Proc. 33rd Int. Conf. Mach. Learn.(JMLR: W&CP) 48, 2016 | 4 | 2016 |
| Revenue optimization in posted-price auctions with strategic buyers M Mohri, AM Medina arXiv preprint arXiv:1411.6305, 2014 | 4 | 2014 |
