Author

Umar Syed

Observed names: Dr. Syed Umar, Syed Umar, Syed, Umar

Observed institutions: Google (United States), Harvard University, Princeton University, Cornell University, Marwadi University, University of Pennsylvania, Arkansas Tech University

ORCID: 0009-0007-3797-3614

Observed ORCID: 0009-0007-3797-3614

OpenAlex ID: A5103121691

Learning Prices for Repeated Auctions with Strategic Buyers

2013 · Amin, Kareem, Rostamizadeh, Afshin, et al. · arXiv (Cornell University) · 105

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Repeated Contextual Auctions with Strategic Buyers

2014 · Kareem Amin, Afshin Rostamizadeh, et al. · 81

Multi-Class Deep Boosting

2014 · Vitaly Kuznetsov, Mehryar Mohri, et al. · 66

Deep Boosting

2014 · Corinna Cortes, Mehryar Mohri, et al. · International Conference on Machine Learning · 49

Enzyme Function Prediction with Interpretable Models

2009 · Umar Syed, Golan Yona · Methods in molecular biology · 47

A Reduction from Apprenticeship Learning to Classification

2010 · Umar Syed, Robert E. Schapire · 46

A Hybrid Brain Tumor Classification Using FL With FedAvg and FedProx for Privacy and Robustness Across Heterogeneous Data Sources

2025 · N. Sivakumar, Ahmad Raza Khan, et al. · IEEE Access · 40

Using a mixture of probabilistic decision trees for direct prediction of protein function

2003 · Umar Syed, Golan Yona · Research in Computational Molecular Biology · 35

Statistical Cost Sharing

2017 · Balkanski, Eric, Syed, Umar, et al. · arXiv (Cornell University) · 21

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Graphical Models for Bandit Problems

2012 · Amin, Kareem, Kearns, Michael, et al. · arXiv (Cornell University) · 18

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Bandits, Query Learning, and the Haystack Dimension

2011 · Kareem Amin, Michael Kearns, et al. · 18

Private prediction for large-scale synthetic text generation

2024 · Kareem Amin, Alex Bie, et al. · Findings of the Association for Computational Linguistics: EMNLP (Findings of EMNLP) · 15

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Using automatically transcribed dialogs to learn user models in a spoken dialog system

2008 · Umar Syed, Jason D. Williams · Proceedings of the conference - Association for Computational Linguistics. Meeting · 15

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Clustering for Private Interest-based Advertising

2021 · Alessandro Epasto, Andrés Muñoz Medina, et al. · ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) · 14

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Imitation Learning with a Value-Based Prior

2012 · Syed, Umar, Schapire, Robert E. · arXiv (Cornell University) · 14

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Escaping Collapse: The Strength of Weak Data for Large Language Model Training

2025 · Kareem Amin, Sara Babakniya, et al. · neural information processing systems · 13

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DP-Auditorium: A Large-Scale Library for Auditing Differential Privacy

2024 · William Kong, Andrés Muñoz Medina, et al. · IEEE Symposium on Security and Privacy (S&P) · 11

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Label differential privacy via clustering

2021 · Esfandiari, Hossein, Mirrokni, Vahab, et al. · arXiv (Cornell University) · 11

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Learning with Deep Cascades

2015 · Giulia DeSalvo, Mehryar Mohri, et al. · Lecture notes in computer science · 11

Pricing a low-regret seller

2016 · Hoda Heidari, Mohammad Mahdian, et al. · International Conference on Machine Learning · 8

SQML: large-scale in-database machine learning with pure SQL

2017 · Umar Syed, Sergei Vassilvitskii · Symposium on Cloud Computing · 7

Assessing Web Fingerprinting Risk

2024 · Enrico Bacis, Igor Bilogrevic, et al. · International World Wide Web Conference (WWW) · 6

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Reinforcement learning without rewards

2010 · Robert E. Schapire, Umar Syed · 6

How Unique is Whose Web Browser? The role of demographics in browser fingerprinting among US users

2024 · Alex Berke, Badih Ghazi, et al. · Proceedings on Privacy Enhancing Technologies · 5

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Where to Sell: Simulating Auctions From Learning Algorithms

2016 · Hamid Nazerzadeh, Renato Paes Leme, et al. · ACM Conference on Economics and Computation (EC) · 5

Works count: 46

Citation count: 689

H-index: 14

I10-index: 19