andres muñoz medina
andres muñoz medina
PhD student, Courant Institute Of Mathematical Sciences
Verified email at cims.nyu.edu
TitleCited byYear
Machine learning and optimization
A Munoz
URL: https://www. cims. nyu. edu/~ munoz/files/ml_optimization. pdf …, 2014
772014
Learning theory and algorithms for revenue optimization in second price auctions with reserve
AM Medina, M Mohri
Proceedings of the 31st International Conference on Machine Learning (ICML …, 2014
752014
Optimal regret minimization in posted-price auctions with strategic buyers
M Mohri, A Munoz
Advances in Neural Information Processing Systems, 1871-1879, 2014
362014
New Analysis and Algorithm for Learning with Drifting Distributions
M Mohri, AM Medina
Arxiv preprint arXiv:1205.4343, 2012
322012
Revenue optimization against strategic buyers
M Mohri, A Munoz
Advances in Neural Information Processing Systems, 2530-2538, 2015
212015
Revenue optimization with approximate bid predictions
AM Medina, S Vassilvitskii
Proceedings of the 31st International Conference on Neural Information …, 2017
19*2017
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
152015
Learning algorithms for second-price auctions with reserve
M Mohri, AM Medina
The Journal of Machine Learning Research 17 (1), 2632-2656, 2016
142016
Non-parametric revenue optimization for generalized second price auctions
M Mohri, AM Medina
arXiv preprint arXiv:1506.02719, 2015
92015
No-regret algorithms for heavy-tailed linear bandits
AM Medina, S Yang
International Conference on Machine Learning, 1642-1650, 2016
82016
Adaptation based on generalized discrepancy
C Cortes, M Mohri, AM Medina
The Journal of Machine Learning Research 20 (1), 1-30, 2019
72019
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
62018
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
32018
Revenue optimization in posted-price auctions with strategic buyers
M Mohri, AM Medina
arXiv preprint arXiv:1411.6305, 2014
22014
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 Battery Consumption of Mobile Devices
P Eastham, AM Medina, A Sharma, U Syed, S Vassilvitskii, F Yu
Proceedings of the 33 rd International Conference on Machine Learning, JMLR …, 2016
12016
Learning Theory and Algorithms for Auctioning and Adaptation Problems
AM Medina
PhD thesis, New York University, 2015
12015
Bounding User Contributions: A Bias-Variance Trade-off in Differential Privacy
A Kulesza, AM Medina, K Amin, S Vassilvitskii
2019
Learning mobile phone battery consumptions
AM Medina, A Sharma, F Yu, P Eastham, S Vassilvitskii, U Syed
2016
Robust Stochastic Linear Bandits
AM Medina, S Yang
2016
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