andres muñoz medina
andres muñoz medina
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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
1192014
Machine learning and optimization
A Munoz
URL: https://www. cims. nyu. edu/~ munoz/files/ml_optimization. pdf …, 2014
942014
New Analysis and Algorithm for Learning with Drifting Distributions
M Mohri, AM Medina
Arxiv preprint arXiv:1205.4343, 2012
592012
Revenue optimization with approximate bid predictions
AM Medina, S Vassilvitskii
arXiv preprint arXiv:1706.04732, 2017
552017
Optimal regret minimization in posted-price auctions with strategic buyers
M Mohri, A Munoz
Advances in Neural Information Processing Systems, 1871-1879, 2014
542014
Adaptation based on generalized discrepancy
C Cortes, M Mohri, AM Medina
The Journal of Machine Learning Research 20 (1), 1-30, 2019
342019
Revenue Optimization against Strategic Buyers.
M Mohri, AM Medina
NIPS, 2530-2538, 2015
332015
Learning algorithms for second-price auctions with reserve
M Mohri, AM Medina
The Journal of Machine Learning Research 17 (1), 2632-2656, 2016
322016
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
272015
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
172019
No-regret algorithms for heavy-tailed linear bandits
AM Medina, S Yang
International Conference on Machine Learning, 1642-1650, 2016
162016
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
142018
Non-parametric revenue optimization for generalized second price auctions
M Mohri, AM Medina
arXiv preprint arXiv:1506.02719, 2015
132015
Differentially Private Covariance Estimation.
K Amin, T Dick, A Kulesza, AM Medina, S Vassilvitskii
NeurIPS, 14190-14199, 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
Revenue optimization in posted-price auctions with strategic buyers
M Mohri, AM Medina
arXiv preprint arXiv:1411.6305, 2014
42014
‘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
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
22018
Learning Theory and Algorithms for Auctioning and Adaptation Problems
AM Medina
New York University, 2015
22015
Duff: A Dataset-Distance-Based Utility Function Family for the Exponential Mechanism
AM Medina, J Gillenwater
arXiv preprint arXiv:2010.04235, 2020
12020
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