Syed, Umar

27 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

AISTATS 2025 Near-Optimal Algorithms for Private Estimation and Sequential Testing of Collision Probability Robert Istvan Busa-Fekete, Umar Syed

AISTATS 2024 Lexicographic Optimization: Algorithms and Stability Jacob A. Abernethy, Robert Schapire, Umar Syed

ICML 2023 Label Differential Privacy and Private Training Data Release Robert Istvan Busa-Fekete, Andres Munoz Medina, Umar Syed, Sergei Vassilvitskii

AISTATS 2022 Label Differential Privacy via Clustering Hossein Esfandiari, Vahab Mirrokni, Umar Syed, Sergei Vassilvitskii

NeurIPS 2022 Private and Communication-Efficient Algorithms for Entropy Estimation Gecia Bravo-Hermsdorff, Róbert Busa-Fekete, Mohammad Ghavamzadeh, Andres Munoz Medina, Umar Syed

AISTATS 2021 Private Optimization Without Constraint Violations Andres Munoz, Umar Syed, Sergei Vassilvtiskii, Ellen Vitercik

NeurIPSW 2021 On the Pitfalls of Label Differential Privacy Andres Munoz Medina, Robert Istvan Busa-Fekete, Umar Syed, Sergei Vassilvitskii

NeurIPSW 2021 Population Level Privacy Leakage in Binary Classification Wtih Label Noise Robert Istvan Busa-Fekete, Andres Munoz Medina, Umar Syed, Sergei Vassilvitskii

NeurIPS 2017 Statistical Cost Sharing Eric Balkanski, Umar Syed, Sergei Vassilvitskii

ICML 2016 Pricing a Low-Regret Seller Hoda Heidari, Mohammad Mahdian, Umar Syed, Sergei Vassilvitskii, Sadra Yazdanbod

ALT 2015 Learning with Deep Cascades Giulia DeSalvo, Mehryar Mohri, Umar Syed

ICML 2015 Structural Maxent Models Corinna Cortes, Vitaly Kuznetsov, Mehryar Mohri, Umar Syed

ICML 2014 Deep Boosting Corinna Cortes, Mehryar Mohri, Umar Syed

NeurIPS 2014 Multi-Class Deep Boosting Vitaly Kuznetsov, Mehryar Mohri, Umar Syed

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

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

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

NeurIPS 2010 A Reduction from Apprenticeship Learning to Classification Umar Syed, Robert E. Schapire

AAAI 2010 Private and Third-Party Randomization in Risk-Sensitive Equilibrium Concepts Mickey Brautbar, Michael J. Kearns, Umar Syed

NeurIPS 2010 Semi-Supervised Learning with Adversarially Missing Label Information Umar Syed, Ben Taskar

NeurIPS 2009 Adapting to the Shifting Intent of Search Queries Umar Syed, Aleksandrs Slivkins, Nina Mishra

ICML 2008 Apprenticeship Learning Using Linear Programming Umar Syed, Michael H. Bowling, Robert E. Schapire

NeurIPS 2007 A Game-Theoretic Approach to Apprenticeship Learning Umar Syed, Robert E. Schapire

UAI 2007 Imitation Learning with a Value-Based Prior Umar Syed, Robert E. Schapire