andres muñoz medina
andres muñoz medina
Google Research
Verified email at google.com - Homepage
Title
Cited by
Cited by
Year
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
1022014
Machine learning and optimization
A Munoz
URL: https://www. cims. nyu. edu/~ munoz/files/ml_optimization. pdf …, 2014
832014
New Analysis and Algorithm for Learning with Drifting Distributions
M Mohri, AM Medina
Arxiv preprint arXiv:1205.4343, 2012
502012
Optimal regret minimization in posted-price auctions with strategic buyers
M Mohri, A Munoz
Advances in Neural Information Processing Systems, 1871-1879, 2014
462014
Revenue optimization with approximate bid predictions
A Munoz, S Vassilvitskii
Advances in Neural Information Processing Systems, 1858-1866, 2017
342017
Revenue optimization against strategic buyers
M Mohri, A Munoz
Advances in Neural Information Processing Systems, 2530-2538, 2015
272015
Adaptation based on generalized discrepancy
C Cortes, M Mohri, AM Medina
The Journal of Machine Learning Research 20 (1), 1-30, 2019
252019
Learning algorithms for second-price auctions with reserve
M Mohri, AM Medina
The Journal of Machine Learning Research 17 (1), 2632-2656, 2016
252016
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
212015
No-regret algorithms for heavy-tailed linear bandits
AM Medina, S Yang
International Conference on Machine Learning, 1642-1650, 2016
132016
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
122018
Non-parametric revenue optimization for generalized second price auctions
M Mohri, AM Medina
arXiv preprint arXiv:1506.02719, 2015
112015
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
92019
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
62018
Differentially Private Covariance Estimation
K Amin, T Dick, A Kulesza, A Munoz, S Vassilvitskii
Advances in Neural Information Processing Systems, 14213-14222, 2019
52019
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
32016
Revenue optimization in posted-price auctions with strategic buyers
M Mohri, AM Medina
arXiv preprint arXiv:1411.6305, 2014
32014
Learning Theory and Algorithms for Auctioning and Adaptation Problems
AM Medina
New York University, 2015
22015
Online learning for non-stationary A/B tests
A Muñoz Medina, S Vassilvitskii, D Yin
Proceedings of the 27th ACM International Conference on Information and …, 2018
12018
Learning mobile phone battery consumptions
AM Medina, A Sharma, F Yu, P Eastham, S Vassilvitskii, U Syed
12016
The system can't perform the operation now. Try again later.
Articles 1–20