I am a research scientist at Google. I received a Ph.D. in Computer Science from Princeton University, where I was advised by Rob Schapire. I spent two years as a postdoctoral researcher at the University of Pennsylvania, hosted by Ben Taskar and Michael Kearns. My research interests are in machine learning.
Esfandiari, H., Mirrokni, V., Syed, U., Vassilvitskii, S. (2021) Label differential privacy via clustering. Preprint.
Epasto, A., Medina, A. M., Avery, S., Bai, Y., Busa-Fekete, R., Carey, C., Gao, Y., Guthrie, D., Ghosh, S., Ioannidis, J., Jiao, J., Lacki, J., Lee, J., Mauser, A., Milch, B., Mirrokni, V., Ravichandran, D., Shi, W., Spero, M., Sun, Y., Syed, U., Vassilvtiskii, S., Wang, S. (2021) Clustering for private interest-based advertising. Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data Mining (KDD 2021).
Medina, A. M., Syed, U., Vassilvitskii, S., Vitercik, E. (2021)* Private optimization without constraint violations. Proceedings of The Twenty-Fourth International Conference on Artificial Intelligence and Statistics (AISTATS 2021).
Balkanski, E., Syed, U., Vassilvitskii, S. (2017)* Statistical cost sharing. Advances in Neural Information Processing Systems 30 (NeurIPS 2017).
Nazerzadeh, H., Paes Leme, R., Rostamizadeh, A., Syed, U. (2016)* Where to sell: Simulating auctions from learning algorithms. Proceedings of the Seventeenth ACM Conference on Economics and Computation (EC 2016).
Heidari, H., Mahdian, M., Syed, U., Vassilvitskii, S., Yazdanbod, S. (2016)* Pricing a low-regret seller. Proceedings of the Thirty-Third International Conference on Machine Learning (ICML 2016).
Choromanski, K., Rostamizadeh, A., Syed, U. (2015)* An optimal online algorithm for retrieving heavily perturbed statistical databases in the low-dimensional querying model. Proceedings of the Twenty-Fourth ACM International Conference on Information and Knowledge Management (CIKM 2015).
DeSalvo, G., Mohri, M., Syed, U. (2015)* Learning with deep cascades. Proceedings of the Twenty-Sixth International Conference on Algorithmic Learning Theory (ALT 2015).
Amin, K., Rostamizadeh, A., Syed, U. (2014)* Repeated contextual auctions with strategic buyers. Advances in Neural Information Processing Systems 27 (NeurIPS 2014). Supplement.
Asuncion, A., de Haan, J., Mohri, M., Patel, K., Rostamizadeh, A., Syed, U., Wong, L. (2014)* Corporate learning at scale: Lessons from a large online course at Google. Learning at Scale 2014.
Amin, K., Rostamizadeh, A., Syed, U. (2013)* Learning prices for repeated auctions with strategic buyers. Advances in Neural Information Processing Systems 26 (NeurIPS 2013). Supplement.
Amin, K., Kearns, M., Syed, U. (2011)* Graphical models for bandit problems. Uncertainty in Artificial Intelligence: Proceedings of the Twenty-Seventh Conference (UAI 2011).
Amin, K., Kearns, M., Syed, U. (2011)* Bandits, query learning, and the haystack dimension. Proceedings of the Twenty-Fourth Annual Conference on Learning Theory (COLT 2011).
Fabrikant, A., Syed, U., Rexford, J. (2011) There's something about MRAI: Timing diversity can exponentially worsen BGP convergence. Proceedings of the Thirtieth IEEE International Conference on Computer Communications (INFOCOM 2011).
Syed, U., Taskar, B. (2010) Semi-supervised learning with adversarially missing label information. Advances in Neural Information Processing Systems 23 (NeurIPS 2010). Supplement.
Syed, U., Schapire, R. E. (2010) A reduction from apprenticeship learning to classification. Advances in Neural Information Processing Systems 23 (NeurIPS 2010).
Brautbar, M., Kearns, M., Syed, U. (2010)* Private and third-party randomization in risk-sensitive equilibrium concepts. Proceedings of the Twenty-Fourth Conference on Artificial Intelligence (AAAI 2010).
Syed, U. (2010) Reinforcement learning without rewards. Ph.D. dissertation. Department of Computer Science, Princeton University.
Syed, U., Bowling, M., Schapire, R. E. (2008) Apprenticeship learning using linear programming. Proceedings of the Twenty-Fifth International Conference on Machine Learning (ICML 2008).
Syed, U., Williams, J. D. (2008) Using automatically transcribed dialogs to learn user models in a spoken dialog system. Proceedings of the Forty-Sixth Annual Meeting of the Association for Computational Linguistics (ACL 2008).
Syed, U., Yona, G. (2008) Enzyme function prediction with interpretable models. Methods in Molecular Biology: Computational Systems Biology, edited by J. McDermott, K. Montgomery, R. Bumgarner and R. Samudrala. Humana Press. [Book chapter]
Syed, U., Schapire, R. E. (2007) A game-theoretic approach to apprenticeship learning. Advances in Neural Information Processing Systems 20 (NeurIPS 2007). Supplement and videos.
Syed, U., Schapire, R. E. (2007) Imitation learning with a value-based prior. Uncertainty in Artificial Intelligence: Proceedings of the Twenty-Third Conference (UAI 2007).
Syed, U., Yona, G. (2003) Using a mixture of probabilistic decisions trees for direct prediction of protein function. Proceedings of the Seventh Annual International Conference on Research in Computational Biology (RECOMB 2003).
* Denotes alphabetical author order.