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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 26, 2013
1902013
Repeated contextual auctions with strategic buyers
K Amin, A Rostamizadeh, U Syed
Advances in Neural Information Processing Systems 27, 2014
1502014
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
1002012
Learning with user-level privacy
D Levy, Z Sun, K Amin, S Kale, A Kulesza, M Mohri, AT Suresh
Advances in Neural Information Processing Systems 34, 12466-12479, 2021
892021
Repeated inverse reinforcement learning
K Amin, N Jiang, S Singh
Advances in neural information processing systems 30, 2017
892017
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
812016
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
752019
Multi-Agent Pathfinding as a Combinatorial Auction.
O Amir, G Sharon, R Stern
AAAI, 2003-2009, 2015
592015
Differentially private covariance estimation
K Amin, T Dick, A Kulesza, A Munoz, S Vassilvitskii
Advances in Neural Information Processing Systems 32, 2019
502019
Threshold bandits, with and without censored feedback
JD Abernethy, K Amin, R Zhu
Advances In Neural Information Processing Systems 29, 2016
382016
Pan-private uniformity testing
K Amin, M Joseph, J Mao
Conference on Learning Theory, 183-218, 2020
362020
Learning from contagion (without timestamps)
K Amin, H Heidari, M Kearns
International Conference on Machine Learning, 1845-1853, 2014
362014
Online learning and profit maximization from revealed preferences
K Amin, R Cummings, L Dworkin, M Kearns, A Roth
Proceedings of the AAAI Conference on Artificial Intelligence 29 (1), 2015
352015
Towards resolving unidentifiability in inverse reinforcement learning
K Amin, S Singh
arXiv preprint arXiv:1601.06569, 2016
302016
Budgeted prediction with expert advice
K Amin, S Kale, G Tesauro, D Turaga
Proceedings of the AAAI Conference on Artificial Intelligence 29 (1), 2015
252015
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
242011
Graphical models for bandit problems
K Amin, M Kearns, U Syed
Uncertainty in Artificial Intelligence: Proceedings of the Twenty-Seventh …, 2012
232012
Plume: differential privacy at scale
K Amin, J Gillenwater, M Joseph, A Kulesza, S Vassilvitskii
arXiv preprint arXiv:2201.11603, 2022
202022
Gradient methods for stackelberg security games
K Amin, S Singh, MP Wellman
Conference on Uncertainty in Artificial Intelligence, 2-11, 2016
202016
Large-scale bandit problems and KWIK learning
J Abernethy, K Amin, M Kearns, M Draief
International Conference on Machine Learning, 588-596, 2013
142013
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