Umar Syed

According to our database, Umar Syed authored at least 38 papers between 2003 and 2024.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of three.

2024

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

Alex Berke, Enrico Bacis, Badih Ghazi, Pritish Kamath, Ravi Kumar, Robin Lassonde, Pasin Manurangsi, Umar Syed

CoRR, 2024

Assessing Web Fingerprinting Risk.

Enrico Bacis, Igor Bilogrevic, Róbert Busa-Fekete, Asanka Herath, Antonio Sartori, Umar Syed

Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024

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

William Kong, Andrés Muñoz Medina, Mónica Ribero, Umar Syed

Proceedings of the IEEE Symposium on Security and Privacy, 2024

Private prediction for large-scale synthetic text generation.

Kareem Amin, Alex Bie, Weiwei Kong, Alexey Kurakin, Natalia Ponomareva, Umar Syed, Andreas Terzis, Sergei Vassilvitskii

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Lexicographic Optimization: Algorithms and Stability.

Jacob D. Abernethy, Robert E. Schapire, Umar Syed

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

2023

Harnessing large-language models to generate private synthetic text.

Alexey Kurakin, Natalia Ponomareva, Umar Syed, Liam MacDermed, Andreas Terzis

CoRR, 2023

Label differential privacy and private training data release.

Róbert Istvan Busa-Fekete, Andrés Muñoz Medina, Umar Syed, Sergei Vassilvitskii

Proceedings of the International Conference on Machine Learning, 2023

2022

Statistical anonymity: Quantifying reidentification risks without reidentifying users.

Gecia Bravo Hermsdorff, Róbert Busa-Fekete, Lee M. Gunderson, Andrés Muñoz Medina, Umar Syed

CoRR, 2022

Private and Communication-Efficient Algorithms for Entropy Estimation.

Gecia Bravo Hermsdorff, Róbert Busa-Fekete, Mohammad Ghavamzadeh, Andrés Muñoz Medina, Umar Syed

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Label differential privacy via clustering.

Hossein Esfandiari, Vahab S. Mirrokni, Umar Syed, Sergei Vassilvitskii

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

2021

Clustering for Private Interest-based Advertising.

Alessandro Epasto, Andrés Muñoz Medina, Steven Avery, Yijian Bai, Róbert Busa-Fekete, CJ Carey, Ya Gao, David Guthrie, Subham Ghosh, James Ioannidis, Junyi Jiao, Jakub Lacki, Jason Lee, Arne Mauser, Brian Milch, Vahab S. Mirrokni, Deepak Ravichandran, Wei Shi, Max Spero, Yunting Sun, Umar Syed, Sergei Vassilvitskii, Shuo Wang

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Private optimization without constraint violations.

Andrés Muñoz Medina, Umar Syed, Sergei Vassilvitskii, Ellen Vitercik

Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

2018

Inmate OS and VMM based Secured Virtualization for Cloud Encompassment.

Umar Syed

Int. J. Web Appl., 2018

2017

Statistical Cost Sharing.

Eric Balkanski, Umar Syed, Sergei Vassilvitskii

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

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

Umar Syed, Sergei Vassilvitskii

Proceedings of the 2017 Symposium on Cloud Computing, SoCC 2017, Santa Clara, CA, USA, 2017

2016

Where to Sell: Simulating Auctions From Learning Algorithms.

Hamid Nazerzadeh, Renato Paes Leme, Afshin Rostamizadeh, Umar Syed

Proceedings of the 2016 ACM Conference on Economics and Computation, 2016

Pricing a Low-regret Seller.

Hoda Heidari, Mohammad Mahdian, Umar Syed, Sergei Vassilvitskii, Sadra Yazdanbod

Proceedings of the 33nd International Conference on Machine Learning, 2016

2015

An $\tilde{O}(\frac{1}{\sqrt{T}})$-error online algorithm for retrieving heavily perturbated statistical databases in the low-dimensional querying mode.

Krzysztof Choromanski, Afshin Rostamizadeh, Umar Syed

CoRR, 2015

Structural Maxent Models.

Corinna Cortes, Vitaly Kuznetsov, Mehryar Mohri, Umar Syed

Proceedings of the 32nd International Conference on Machine Learning, 2015

An Optimal Online Algorithm For Retrieving Heavily Perturbed Statistical Databases In The Low-Dimensional Querying Model.

Krzysztof Marcin Choromanski, Afshin Rostamizadeh, Umar Syed

Proceedings of the 24th ACM International Conference on Information and Knowledge Management, 2015

Learning with Deep Cascades.

Giulia DeSalvo, Mehryar Mohri, Umar Syed

Proceedings of the Algorithmic Learning Theory - 26th International Conference, 2015

2014

Multi-Class Deep Boosting.

Vitaly Kuznetsov, Mehryar Mohri, Umar Syed

Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

Repeated Contextual Auctions with Strategic Buyers.

Kareem Amin, Afshin Rostamizadeh, Umar Syed

Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

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

Proceedings of the First (2014) ACM Conference on Learning @ Scale, 2014

Deep Boosting.

Corinna Cortes, Mehryar Mohri, Umar Syed

Proceedings of the 31th International Conference on Machine Learning, 2014

2013

Learning Prices for Repeated Auctions with Strategic Buyers.

Kareem Amin, Afshin Rostamizadeh, Umar Syed

Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013

2011

Bandits, Query Learning, and the Haystack Dimension.

Kareem Amin, Michael J. Kearns, Umar Syed

Proceedings of the COLT 2011, 2011

Graphical Models for Bandit Problems.

Kareem Amin, Michael J. Kearns, Umar Syed

Proceedings of the UAI 2011, 2011

There's something about MRAI: Timing diversity can exponentially worsen BGP convergence.

Alex Fabrikant, Umar Syed, Jennifer Rexford

Proceedings of the INFOCOM 2011. 30th IEEE International Conference on Computer Communications, 2011

2010

Semi-Supervised Learning with Adversarially Missing Label Information.

Umar Syed, Ben Taskar

Proceedings of the Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010. Proceedings of a meeting held 6-9 December 2010, 2010

A Reduction from Apprenticeship Learning to Classification.

Umar Syed, Robert E. Schapire

Proceedings of the Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010. Proceedings of a meeting held 6-9 December 2010, 2010

Private and Third-Party Randomization in Risk-Sensitive Equilibrium Concepts.

Mickey Brautbar, Michael J. Kearns, Umar Syed

Proceedings of the Twenty-Fourth AAAI Conference on Artificial Intelligence, 2010

2009

Adapting to the Shifting Intent of Search Queries.

Umar Syed, Aleksandrs Slivkins, Nina Mishra

Proceedings of the Advances in Neural Information Processing Systems 22: 23rd Annual Conference on Neural Information Processing Systems 2009. Proceedings of a meeting held 7-10 December 2009, 2009

2008

Apprenticeship learning using linear programming.

Umar Syed, Michael H. Bowling, Robert E. Schapire

Proceedings of the Machine Learning, 2008

Using Automatically Transcribed Dialogs to Learn User Models in a Spoken Dialog System.

Umar Syed, Jason D. Williams

Proceedings of the ACL 2008, 2008

2007

Imitation Learning with a Value-Based Prior.

Umar Syed, Robert E. Schapire

Proceedings of the UAI 2007, 2007

A Game-Theoretic Approach to Apprenticeship Learning.

Umar Syed, Robert E. Schapire

Proceedings of the Advances in Neural Information Processing Systems 20, 2007

2003

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

Umar Syed, Golan Yona

Proceedings of the Sventh Annual International Conference on Computational Biology, 2003