Kareem Amin
Kareem Amin
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Title
Cited by
Cited by
Year
Learning prices for repeated auctions with strategic buyers
K Amin, A Rostamizadeh, U Syed
Advances in Neural Information Processing Systems, 1169-1177, 2013
1082013
Budget optimization for sponsored search: Censored learning in mdps
K Amin, M Kearns, P Key, A Schwaighofer
Uncertainty in Artificial Intelligence: Proceedings of the Twenty-Eighth …, 2012
792012
Repeated contextual auctions with strategic buyers
K Amin, A Rostamizadeh, U Syed
Advances in Neural Information Processing Systems, 622-630, 2014
732014
A moving target defense approach to mitigate DDoS attacks against proxy-based architectures
S Venkatesan, M Albanese, K Amin, S Jajodia, M Wright
2016 IEEE conference on communications and network security (CNS), 198-206, 2016
462016
Repeated inverse reinforcement learning
K Amin, N Jiang, S Singh
Advances in Neural Information Processing Systems 30, 1815-1824, 2017
352017
Multi-Agent Pathfinding as a Combinatorial Auction.
O Amir, G Sharon, R Stern
AAAI, 2003-2009, 2015
292015
Graphical models for bandit problems
K Amin, M Kearns, U Syed
Uncertainty in Artificial Intelligence: Proceedings of the Twenty-Seventh …, 2012
242012
Bandits, query learning, and the haystack dimension
K Amin, M Kearns, U Syed
Proceedings of the 24th Annual Conference on Learning Theory, 87-106, 2011
222011
Learning from contagion (without timestamps)
K Amin, H Heidari, M Kearns
International Conference on Machine Learning, 1845-1853, 2014
202014
Online learning and profit maximization from revealed preferences
K Amin, R Cummings, L Dworkin, M Kearns, A Roth
arXiv preprint arXiv:1407.7294, 2014
192014
Budgeted Prediction with Expert Advice.
K Amin, S Kale, G Tesauro, DS Turaga
AAAI, 2490-2496, 2015
152015
Large-scale bandit problems and KWIK learning
J Abernethy, K Amin, M Kearns, M Draief
International Conference on Machine Learning, 588-596, 2013
142013
Threshold bandits, with and without censored feedback
JD Abernethy, K Amin, R Zhu
Advances In Neural Information Processing Systems 29, 4889-4897, 2016
132016
Gradient methods for stackelberg security games
K Amin, S Singh, MP Wellman
Conference on Uncertainty in Artificial Intelligence, 2-11, 2016
122016
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
112019
Towards resolving unidentifiability in inverse reinforcement learning
K Amin, S Singh
arXiv preprint arXiv:1601.06569, 2016
112016
Pan-private uniformity testing
K Amin, M Joseph, J Mao
Conference on Learning Theory, 183-218, 2020
72020
Differentially Private Covariance Estimation
K Amin, T Dick, A Kulesza, A Munoz, S Vassilvitskii
Advances in Neural Information Processing Systems, 14213-14222, 2019
62019
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
Strategic payment routing in financial credit networks
F Cheng, J Liu, K Amin, MP Wellman
Proceedings of the 2016 ACM Conference on Economics and Computation, 721-738, 2016
32016
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