Umar Syed

Umar Syed

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.

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Assessing Web Fingerprinting Risk
Enrico Bacis
Igor Bilogrevic
Robert Busa-Fekete
Asanka Herath
Antonio Sartori
Umar Syed
Proceedings of the ACM Web Conference (WWW 2024)
DP-Auditorium: A large-scale library for auditing differential privacy
William Kong
Andres Munoz Medina
Monica Ribero
Umar Syed
2024
Lexicographic optimization: Algorithms and stability
Jake Abernethy
Robert Schapire
Umar Syed
2024
Label differential privacy and private training data release
Robert Busa-Fekete
Andres Munoz Medina
Umar Syed
Sergei Vassilvitskii
2023
Private and communication-efficient algorithms for entropy estimation
Gecia Bravo-Hermsdorff
Robert Busa-Fekete
Mohammad Ghavamzadeh
Andres Munoz Medina
Umar Syed
2022
Label differential privacy via clustering
Hossein Esfandiari
Vahab Mirrokni
Umar Syed
Sergei Vassilvitskii
2022
Private optimization without constraint violations
Andres Munoz Medina
Umar Syed
Sergei Vassilvitskii
Ellen Vitercik
2021
Statistical cost sharing
Eric Balkanski
Umar Syed
Sergei Vassilvitskii
2017
Learning mobile phone battery consumptions
Andres Munoz Medina
Ashish Sharma
Felix Yu
Paul Eastham
Sergei Vassilvitskii
Umar Syed
Workshop on On Device Intelligence (2016)
Pricing a low-regret seller
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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