Amin, Kareem

23 publications

NeurIPS 2025 Escaping Collapse: The Strength of Weak Data for Large Language Model Training Kareem Amin, Sara Babakniya, Alex Bie, Weiwei Kong, Umar Syed, Sergei Vassilvitskii

ICLRW 2025 Escaping Collapse: The Strength of Weak Data for Large Language Model Training Kareem Amin, Sara Babakniya, Alex Bie, Weiwei Kong, Umar Syed, Sergei Vassilvitskii

ICLR 2023 Easy Differentially Private Linear Regression Kareem Amin, Matthew Joseph, Mónica Ribero, Sergei Vassilvitskii

ICML 2023 Learning-Augmented Private Algorithms for Multiple Quantile Release Mikhail Khodak, Kareem Amin, Travis Dick, Sergei Vassilvitskii

ICMLW 2023 Learning-Augmented Private Algorithms for Multiple Quantile Release Mikhail Khodak, Kareem Amin, Travis Dick, Sergei Vassilvitskii

NeurIPS 2021 Learning with Labeling Induced Abstentions Kareem Amin, Giulia DeSalvo, Afshin Rostamizadeh

NeurIPS 2021 Learning with User-Level Privacy Daniel Levy, Ziteng Sun, Kareem Amin, Satyen Kale, Alex Kulesza, Mehryar Mohri, Ananda Theertha Suresh

COLT 2020 Pan-Private Uniformity Testing Kareem Amin, Matthew Joseph, Jieming Mao

AISTATS 2020 Understanding the Effects of Batching in Online Active Learning Kareem Amin, Corinna Cortes, Giulia DeSalvo, Afshin Rostamizadeh

ICML 2019 Bounding User Contributions: A Bias-Variance Trade-Off in Differential Privacy Kareem Amin, Alex Kulesza, Andres Munoz, Sergei Vassilvtiskii

NeurIPS 2019 Differentially Private Covariance Estimation Kareem Amin, Travis Dick, Alex Kulesza, Andres Munoz, Sergei Vassilvitskii

NeurIPS 2017 Repeated Inverse Reinforcement Learning Kareem Amin, Nan Jiang, Satinder Singh

UAI 2016 Gradient Methods for Stackelberg Games Kareem Amin, Michael P. Wellman, Satinder Singh

NeurIPS 2016 Threshold Bandits, with and Without Censored Feedback Jacob D. Abernethy, Kareem Amin, Ruihao Zhu

AAAI 2015 Budgeted Prediction with Expert Advice Kareem Amin, Satyen Kale, Gerald Tesauro, Deepak S. Turaga

AAAI 2015 Online Learning and Profit Maximization from Revealed Preferences Kareem Amin, Rachel Cummings, Lili Dworkin, Michael J. Kearns, Aaron Roth

ICML 2014 Learning from Contagion (Without Timestamps) Kareem Amin, Hoda Heidari, Michael Kearns

NeurIPS 2014 Repeated Contextual Auctions with Strategic Buyers Kareem Amin, Afshin Rostamizadeh, Umar Syed

ICML 2013 Large-Scale Bandit Problems and KWIK Learning Jacob Abernethy, Kareem Amin, Michael Kearns, Moez Draief

NeurIPS 2013 Learning Prices for Repeated Auctions with Strategic Buyers Kareem Amin, Afshin Rostamizadeh, Umar Syed

UAI 2012 Budget Optimization for Sponsored Search: Censored Learning in MDPs Kareem Amin, Michael J. Kearns, Peter B. Key, Anton Schwaighofer

COLT 2011 Bandits, Query Learning, and the Haystack Dimension Kareem Amin, Michael Kearns, Umar Syed

UAI 2011 Graphical Models for Bandit Problems Kareem Amin, Michael J. Kearns, Umar Syed