Umar Syed
Google Publications
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Hoda Heidari, Mohammad Mahdian, Umar Syed, Sergei Vassilvitskii, Sadra Yazdanbod
Proceedings of the Thirty-Third International Conference on Machine Learning (ICML 2016)
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Where to sell: Simulating auctions from learning algorithms
Hamid Nazerzadeh, Renato Paes Leme, Afshin Rostamizadeh, Umar Syed
Proceedings of the Seventeenth ACM Conference on Economics and Computation (EC2016)
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Krzysztof Choromanski, Afshin Rostamizadeh, Umar Syed
Proceedings of the Twenty-Fourth ACM International Conference on Information and Knowledge Management (CIKM 2015)
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Giulia DeSalvo, Mehryar Mohri, Umar Syed
Proceedings of the Twenty-Sixth International Conference on Algorithmic Learning Theory (ALT 2015)
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Corinna Cortes, Vitaly Kuznetsov, Mehryar Mohri, Umar Syed
Proceedings of the Thirty-Second International Conference on Machine Learning (ICML 2015)
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Corporate learning at scale: Lessons from a large online course at Google
Arthur Asuncion, Jac de Haan, Mehryar Mohri, Kayur Patel, Afshin Rostamizadeh, Umar Syed, Lauren Wong
Learning at Scale (2014)
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Corinna Cortes, Mehryar Mohri, Umar Syed
Proceedings of the Thirty-First International Conference on Machine Learning (ICML 2014)
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Vitaly Kuznetsov, Mehryar Mohri, Umar Syed
Advances in Neural Information Processing Systems (2014)
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Repeated Contextual Auctions with Strategic Buyers
Kareem Amin, Afshin Rostamizadeh, Umar Syed
Advances in Neural Information Processing Systems (2014)
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Learning Prices for Repeated Auctions with Strategic Buyers
Kareem Amin, Afshin Rostamizadeh, Umar Syed
Neural Information Processing Systems (2013)
Previous Publications
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An $\tildeO(\frac1\sqrtT)$-error online algorithm for retrieving heavily perturbated statistical databases in the low-dimensional querying mode
Krzysztof Choromanski, Afshin Rostamizadeh, Umar Syed
CoRR, vol. abs/1504.01117 (2015)
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Bandits, query learning, and the haystack dimension
Kareem Amin, Michael Kearns, Umar Syed
Proceedings of the Twenty-Fourth Annual Conference on Learning Theory (COLT 2011)
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Graphical models for bandit problems
Kareem Amin, Michael Kearns, Umar Syed
Uncertainty in Artificial Intelligence: Proceedings of the Twenty-Seventh Conference (UAI 2011)
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There's something about MRAI: Timing diversity can exponentially worsen BGP convergence
Alex Fabrikant, Umar Syed, Jennifer Rexford
Proceedings of the Thirtieth IEEE International Conference on Computer Communications (INFOCOM 2011)
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A reduction from apprenticeship learning to classification
Umar Syed, Robert E. Schapire
Advances in Neural Information Processing Systems 24 (NIPS 2010)
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Private and third-party randomization in risk-sensitive equilibrium concepts
Mickey Brautbar, Michael Kearns, Umar Syed
Proceedings of the Twenty-Fourth Conference on Artificial Intelligence (AAAI 2010)
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Semi-supervised learning with adversarially missing label information
Umar Syed, Ben Taskar
Advances in Neural Information Processing Systems 24 (NIPS 2010)
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Adapting to the shifting intent of search queries
Umar Syed, Aleksandrs Slivkins, Nina Mishra
Advances in Neural Information Processing Systems 23 (NIPS 2009)
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Apprenticeship learning using linear programming
Umar Syed, Michael Bowling, Robert E. Schapire
Proceedings of the Twenty-Fifth International Conference on Machine Learning (ICML 2008)
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Enzyme function prediction with interpretable models
Umar Syed, Golan Yona
Methods in Molecular Biology: Computational Systems Biology, Humana Press (2008)
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Using automatically transcribed dialogs to learn user models in a spoken dialog system
Umar Syed, Jason Williams
Proceedings of the Forty-Sixth Annual Meeting of the Association for Computational Linguistics (ACL 2008)
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A game-theoretic approach to apprenticeship learning
Umar Syed, Robert E. Schapire
Advances in Neural Information Processing Systems 21 (NIPS 2007)
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Imitation learning with a value-based prior
Umar Syed, Robert E. Schapire
Uncertainty in Artificial Intelligence: Proceedings of the Twenty-Third Conference (UAI 2007)
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Using a mixture of probabilistic decisions trees for direct prediction of protein function
Umar Syed, Golan Yona
Proceedings of the Seventh Annual International Conference on Research in Computational Biology (RECOMB 2003)









