Bandits, Query Learning, and the Haystack Dimension
Umar Syed , Michael J. Kearns , Kareem Amin
conference on learning theory 87 -106
18
2011
Learning from Contagion (Without Timestamps)
Michael Kearns , Kareem Amin , Hoda Heidari
international conference on machine learning 1845 -1853
18
2014
Learning Prices for Repeated Auctions with Strategic Buyers
Umar Syed , Kareem Amin , Afshin Rostamizadeh
neural information processing systems 26 1169 -1177
47
2013
Online learning and profit maximization from revealed preferences
Aaron Roth , Lili Dworkin , Michael Kearns , Rachel Cummings
national conference on artificial intelligence 770 -776
16
2015
Repeated Contextual Auctions with Strategic Buyers
Umar Syed , Kareem Amin , Afshin Rostamizadeh
neural information processing systems 27 622 -630
56
2014
Large-Scale Bandit Problems and KWIK Learning
Moez Draief , Jacob Abernethy , Michael Kearns , Kareem Amin
international conference on machine learning 588 -596
12
2013
Budgeted prediction with expert advice
Gerald Tesauro , Kareem Amin , Satyen Kale , Deepak Turaga
national conference on artificial intelligence 2490 -2496
12
2015
Threshold Bandits, With and Without Censored Feedback
Jacob D. Abernethy , Ruihao Zhu , Kareem Amin
neural information processing systems 29 4889 -4897
12
2016
Gradient methods for stackelberg security games
Michael P. Wellman , Satinder Singh , Kareem Amin
uncertainty in artificial intelligence 2 -11
9
2016
Repeated Inverse Reinforcement Learning
Satinder P. Singh , Kareem Amin , Nan Jiang
neural information processing systems 30 1815 -1824
31
2017
Bounding User Contributions: A Bias-Variance Trade-off in Differential Privacy
Alex Kulesza , Kareem Amin , Sergei Vassilvitskii , Andres Munoz Medina
international conference on machine learning 263 -271
39
2019
Budget Optimization for Sponsored Search: Censored Learning in MDPs
Michael Kearns , Kareem Amin , Peter Key , Anton Schwaighofer
arXiv: Computer Science and Game Theory
93
2012
Differentially Private Covariance Estimation
Alex Kulesza , Kareem Amin , Sergei Vassilvitskii , Travis Dick
neural information processing systems 32 14213 -14222
4
2019
Understanding the Effects of Batching in Online Active Learning.
Kareem Amin , Corinna Cortes , Afshin Rostamizadeh , Giulia DeSalvo
international conference on artificial intelligence and statistics 3482 -3492
2020
Pan-Private Uniformity Testing
Kareem Amin , Jieming Mao , Matthew Joseph
conference on learning theory 183 -218
6
2020
Learning with User-Level Privacy
Daniel Levy , Alex Kulesza , Ananda Theertha Suresh , Kareem Amin
arXiv: Learning
34
2021
Strategic Payment Routing in Financial Credit Networks
Frank Cheng , Junming Liu , Kareem Amin , Michael P. Wellman
economics and computation 721 -738
2016
Learning with labeling induced abstentions
Kareem Amin , Giulia DeSalvo , Afshin Rostamizadeh
Advances in Neural Information Processing Systems 34 12576 -12586
2
2021
Private Algorithms with Private Predictions
Kareem Amin , Travis Dick , Mikhail Khodak , Sergei Vassilvitskii
arXiv preprint arXiv:2210.11222
2022
Plume: Differential privacy at scale
Kareem Amin , Jennifer Gillenwater , Matthew Joseph , Alex Kulesza
arXiv preprint arXiv:2201.11603
14
2022