| A game-theoretic approach to apprenticeship learning U Syed, RE Schapire Advances in neural information processing systems 20 (20), 1-8, 2007 | 459 | 2007 |
| Apprenticeship learning using linear programming U Syed, M Bowling, RE Schapire Proceedings of the 25th international conference on Machine learning, 1032-1039, 2008 | 373 | 2008 |
| Learning prices for repeated auctions with strategic buyers K Amin, A Rostamizadeh, U Syed Advances in neural information processing systems 26, 2013 | 201 | 2013 |
| Repeated contextual auctions with strategic buyers K Amin, A Rostamizadeh, U Syed Advances in Neural Information Processing Systems 27, 2014 | 168 | 2014 |
| Deep boosting C Cortes, M Mohri, U Syed International conference on machine learning, 1179-1187, 2014 | 130 | 2014 |
| A reduction from apprenticeship learning to classification U Syed, RE Schapire Advances in neural information processing systems 23, 2010 | 107 | 2010 |
| Multi-class deep boosting V Kuznetsov, M Mohri, U Syed Advances in Neural Information Processing Systems 27, 2014 | 101 | 2014 |
| There's something about MRAI: Timing diversity can exponentially worsen BGP convergence A Fabrikant, U Syed, J Rexford 2011 Proceedings IEEE INFOCOM, 2975-2983, 2011 | 63 | 2011 |
| Harnessing large-language models to generate private synthetic text A Kurakin, N Ponomareva, U Syed, L MacDermed, A Terzis arXiv preprint arXiv:2306.01684, 2023 | 55 | 2023 |
| Using a mixture of probabilistic decision trees for direct prediction of protein function U Syed, G Yona Proceedings of the seventh annual international conference on Research in …, 2003 | 51 | 2003 |
| Enzyme function prediction with interpretable models U Syed, G Yona Computational Systems Biology 541, 187-199, 2008 | 49 | 2008 |
| Label differential privacy via clustering H Esfandiari, V Mirrokni, U Syed, S Vassilvitskii International Conference on Artificial Intelligence and Statistics, 7055-7075, 2022 | 29 | 2022 |
| Bandits, query learning, and the haystack dimension K Amin, M Kearns, U Syed Proceedings of the Twenty-Fourth Annual Conference on Learning Theory (COLT …, 2011 | 28 | 2011 |
| Statistical cost sharing E Balkanski, U Syed, S Vassilvitskii Advances in Neural Information Processing Systems 30, 2017 | 27 | 2017 |
| Large-scale in-database machine learning with pure SQL U Syed, S Vassilvitskii US Patent 10,482,394, 2019 | 25 | 2019 |
| Learning with deep cascades G DeSalvo, M Mohri, U Syed International Conference on Algorithmic Learning Theory, 254-269, 2015 | 25 | 2015 |
| Rademacher complexity margin bounds for learning with a large number of classes V Kuznetsov, M Mohri, U Syed ICML Workshop on Extreme Classification: Learning with a Very Large Number …, 2015 | 25 | 2015 |
| Clustering for private interest-based advertising A Epasto, A Muñoz Medina, S Avery, Y Bai, R Busa-Fekete, CJ Carey, ... Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data …, 2021 | 24 | 2021 |
| Graphical models for bandit problems K Amin, M Kearns, U Syed arXiv preprint arXiv:1202.3782, 2012 | 24 | 2012 |
| Private prediction for large-scale synthetic text generation K Amin, A Bie, W Kong, A Kurakin, N Ponomareva, U Syed, A Terzis, ... arXiv preprint arXiv:2407.12108, 2024 | 22 | 2024 |
Sergei VassilvitskiiGoogleVerified email at google.com
