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andres muñoz medina
andres muñoz medina
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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
1322014
Machine learning and optimization
A Munoz
URL: https://www. cims. nyu. edu/~ munoz/files/ml_optimization. pdf …, 2014
1002014
New Analysis and Algorithm for Learning with Drifting Distributions
M Mohri, AM Medina
Arxiv preprint arXiv:1205.4343, 2012
722012
Revenue optimization with approximate bid predictions
A Munoz, S Vassilvitskii
Advances in Neural Information Processing Systems 30, 2017
702017
Optimal regret minimization in posted-price auctions with strategic buyers
M Mohri, A Munoz
Advances in Neural Information Processing Systems 27, 2014
572014
Adaptation based on generalized discrepancy
C Cortes, M Mohri, AM Medina
The Journal of Machine Learning Research 20 (1), 1-30, 2019
492019
Learning algorithms for second-price auctions with reserve
M Mohri, AM Medina
The Journal of Machine Learning Research 17 (1), 2632-2656, 2016
382016
Revenue optimization against strategic buyers
M Mohri, A Munoz
Advances in Neural Information Processing Systems 28, 2015
352015
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
322019
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
322015
No-regret algorithms for heavy-tailed linear bandits
AM Medina, S Yang
International Conference on Machine Learning, 1642-1650, 2016
232016
Differentially private covariance estimation
K Amin, T Dick, A Kulesza, A Munoz, S Vassilvitskii
Advances in Neural Information Processing Systems 32, 2019
222019
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
182018
Non-parametric revenue optimization for generalized second price auctions
M Mohri, AM Medina
arXiv preprint arXiv:1506.02719, 2015
122015
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
72018
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
52021
Duff: A dataset-distance-based utility function family for the exponential mechanism
AM Medina, J Gillenwater
arXiv preprint arXiv:2010.04235, 2020
42020
‘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
42016
Revenue optimization in posted-price auctions with strategic buyers
M Mohri, AM Medina
arXiv preprint arXiv:1411.6305, 2014
42014
On the pitfalls of label differential privacy
RI Busa-Fekete, U Syed, S Vassilvitskii
NeurIPS 2021 Workshop LatinX in AI, 2021
32021
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