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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
1622014
Machine learning and optimization
A Munoz
Courant Institute of Mathematical Sciences 2014, 1-2, 2014
1282014
New Analysis and Algorithm for Learning with Drifting Distributions
M Mohri, AM Medina
Arxiv preprint arXiv:1205.4343, 2012
1272012
Revenue optimization with approximate bid predictions
A Munoz, S Vassilvitskii
Advances in Neural Information Processing Systems 30, 2017
1032017
Adaptation based on generalized discrepancy
C Cortes, M Mohri, AM Medina
Journal of Machine Learning Research 20 (1), 1-30, 2019
732019
Optimal regret minimization in posted-price auctions with strategic buyers
M Mohri, A Munoz
Advances in Neural Information Processing Systems 27, 2014
652014
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
632019
Learning algorithms for second-price auctions with reserve
M Mohri, AM Medina
Journal of Machine Learning Research 17 (74), 1-25, 2016
552016
Differentially private covariance estimation
K Amin, T Dick, A Kulesza, A Munoz, S Vassilvitskii
Advances in Neural Information Processing Systems 32, 2019
472019
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
472015
No-regret algorithms for heavy-tailed linear bandits
AM Medina, S Yang
International Conference on Machine Learning, 1642-1650, 2016
402016
Revenue optimization against strategic buyers
M Mohri, A Munoz
Advances in Neural Information Processing Systems 28, 2015
402015
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
192021
Differentially private continual releases of streaming frequency moment estimations
A Epasto, J Mao, AM Medina, V Mirrokni, S Vassilvitskii, P Zhong
arXiv preprint arXiv:2301.05605, 2023
182023
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
162015
Scalable differentially private clustering via hierarchically separated trees
V Cohen-Addad, A Epasto, S Lattanzi, V Mirrokni, A Munoz Medina, ...
Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and …, 2022
122022
A Joint Exponential Mechanism For Differentially Private Top-
J Gillenwater, M Joseph, A Munoz, MR Diaz
International Conference on Machine Learning, 7570-7582, 2022
92022
Duff: A dataset-distance-based utility function family for the exponential mechanism
AM Medina, J Gillenwater
arXiv preprint arXiv:2010.04235, 2020
82020
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
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