Umar Syed

54 papers A* 12A 7B 3Journal 20Unranked 12
YearRankTypeTitle / Venue / Authors
2026 J jnl
Learning from Synthetic Data: Limitations of ERM.
CoRR
Kareem Amin, Alex Bie, Weiwei Kong, Umar Syed, Sergei Vassilvitskii
2025 J jnl
Clustering and Median Aggregation Improve Differentially Private Inference.
CoRR
Kareem Amin, Salman Avestimehr, Sara Babakniya, Alex Bie, Weiwei Kong, Natalia Ponomareva, Umar Syed
2025 J jnl
Escaping Collapse: The Strength of Weak Data for Large Language Model Training.
CoRR
Kareem Amin, Sara Babakniya, Alex Bie, Weiwei Kong, Umar Syed, Sergei Vassilvitskii
2025 J jnl
How Unique is Whose Web Browser? The role of demographics in browser fingerprinting among US users.
Proc. Priv. Enhancing Technol.
Alex Berke, Badih Ghazi, Enrico Bacis, Pritish Kamath, Ravi Kumar, Robin Lassonde, Pasin Manurangsi, Umar Syed
2025 A conf
Near-optimal algorithms for private estimation and sequential testing of collision probability.
AISTATS
Róbert Istvan Busa-Fekete, Umar Syed
2025 J jnl
Near-optimal algorithms for private estimation and sequential testing of collision probability.
CoRR
Róbert Busa-Fekete, Umar Syed
2024 — conf
Assessing Web Fingerprinting Risk.
WWW (Companion Volume)
Enrico Bacis, Igor Bilogrevic, Róbert Busa-Fekete, Asanka Herath, Antonio Sartori, Umar Syed
2024 J jnl
Assessing Web Fingerprinting Risk.
CoRR
Enrico Bacis, Igor Bilogrevic, Róbert Busa-Fekete, Asanka Herath, Antonio Sartori, Umar Syed
2024 A* conf
DP-Auditorium: A Large-Scale Library for Auditing Differential Privacy.
SP
William Kong, Andrés Muñoz Medina, Mónica Ribero, Umar Syed
2024 J jnl
How Unique is Whose Web Browser? The role of demographics in browser fingerprinting among US users.
CoRR
Alex Berke, Enrico Bacis, Badih Ghazi, Pritish Kamath, Ravi Kumar, Robin Lassonde, Pasin Manurangsi, Umar Syed
2024 A conf
Lexicographic Optimization: Algorithms and Stability.
AISTATS
Jacob D. Abernethy, Robert E. Schapire, Umar Syed
2024 — conf
Private prediction for large-scale synthetic text generation.
EMNLP (Findings)
Kareem Amin, Alex Bie, Weiwei Kong, Alexey Kurakin, Natalia Ponomareva, Umar Syed, Andreas Terzis, Sergei Vassilvitskii
2024 J jnl
Private prediction for large-scale synthetic text generation.
CoRR
Kareem Amin, Alex Bie, Weiwei Kong, Alexey Kurakin, Natalia Ponomareva, Umar Syed, Andreas Terzis, Sergei Vassilvitskii
2023 J jnl
Harnessing large-language models to generate private synthetic text.
CoRR
Alexey Kurakin, Natalia Ponomareva, Umar Syed, Liam MacDermed, Andreas Terzis
2023 A* conf
Label differential privacy and private training data release.
ICML
Róbert Istvan Busa-Fekete, Andrés Muñoz Medina, Umar Syed, Sergei Vassilvitskii
2023 J jnl
Private and Communication-Efficient Algorithms for Entropy Estimation.
CoRR
Gecia Bravo Hermsdorff, Róbert Busa-Fekete, Mohammad Ghavamzadeh, Andres Muñoz Medina, Umar Syed
2022 A conf
Label differential privacy via clustering.
AISTATS
Hossein Esfandiari, Vahab S. Mirrokni, Umar Syed, Sergei Vassilvitskii
2022 A* conf
Private and Communication-Efficient Algorithms for Entropy Estimation.
NeurIPS
Gecia Bravo Hermsdorff, Róbert Busa-Fekete, Mohammad Ghavamzadeh, Andrés Muñoz Medina, Umar Syed
2022 J jnl
Statistical anonymity: Quantifying reidentification risks without reidentifying users.
CoRR
Gecia Bravo Hermsdorff, Róbert Busa-Fekete, Lee M. Gunderson, Andrés Muñoz Medina, Umar Syed
2021 A* conf
Clustering for Private Interest-based Advertising.
KDD
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
2021 J jnl
Label differential privacy via clustering.
CoRR
Hossein Esfandiari, Vahab S. Mirrokni, Umar Syed, Sergei Vassilvitskii
2021 A conf
Private optimization without constraint violations.
AISTATS
Andrés Muñoz Medina, Umar Syed, Sergei Vassilvitskii, Ellen Vitercik
2020 J jnl
Private Optimization Without Constraint Violations.
CoRR
Andrés Muñoz Medina, Umar Syed, Sergei Vassilvitskii, Ellen Vitercik
2018 J jnl
Inmate OS and VMM based Secured Virtualization for Cloud Encompassment.
Int. J. Web Appl.
Umar Syed
2017 — conf
SQML: large-scale in-database machine learning with pure SQL.
SoCC
Umar Syed, Sergei Vassilvitskii
2017 — conf
Statistical Cost Sharing.
NIPS
Eric Balkanski, Umar Syed, Sergei Vassilvitskii
2017 J jnl
Statistical Cost Sharing.
CoRR
Eric Balkanski, Umar Syed, Sergei Vassilvitskii
2016 A* conf
Pricing a Low-regret Seller.
ICML
Hoda Heidari, Mohammad Mahdian, Umar Syed, Sergei Vassilvitskii, Sadra Yazdanbod
2016 A* conf
Where to Sell: Simulating Auctions From Learning Algorithms.
EC
Hamid Nazerzadeh, Renato Paes Leme, Afshin Rostamizadeh, Umar Syed
2015 J jnl
An $\tilde{O}(\frac{1}{\sqrt{T}})$-error online algorithm for retrieving heavily perturbated statistical databases in the low-dimensional querying mode.
CoRR
Krzysztof Choromanski, Afshin Rostamizadeh, Umar Syed
2015 A conf
An Optimal Online Algorithm For Retrieving Heavily Perturbed Statistical Databases In The Low-Dimensional Querying Model.
CIKM
Krzysztof Marcin Choromanski, Afshin Rostamizadeh, Umar Syed
2015 B conf
Learning with Deep Cascades.
ALT
Giulia DeSalvo, Mehryar Mohri, Umar Syed
2015 A* conf
Structural Maxent Models.
ICML
Corinna Cortes, Vitaly Kuznetsov, Mehryar Mohri, Umar Syed
2014 B conf
Corporate learning at scale: lessons from a large online course at google.
L@S
Arthur Asuncion, Jac de Haan, Mehryar Mohri, Kayur Patel, Afshin Rostamizadeh, Umar Syed, Lauren Wong
2014 A* conf
Deep Boosting.
ICML
Corinna Cortes, Mehryar Mohri, Umar Syed
2014 — conf
Multi-Class Deep Boosting.
NIPS
Vitaly Kuznetsov, Mehryar Mohri, Umar Syed
2014 — conf
Repeated Contextual Auctions with Strategic Buyers.
NIPS
Kareem Amin, Afshin Rostamizadeh, Umar Syed
2013 — conf
Learning Prices for Repeated Auctions with Strategic Buyers.
NIPS
Kareem Amin, Afshin Rostamizadeh, Umar Syed
2013 J jnl
Learning Prices for Repeated Auctions with Strategic Buyers.
CoRR
Kareem Amin, Afshin Rostamizadeh, Umar Syed
2012 J jnl
Graphical Models for Bandit Problems
CoRR
Kareem Amin, Michael J. Kearns, Umar Syed
2012 J jnl
Imitation Learning with a Value-Based Prior
CoRR
Umar Syed, Robert E. Schapire
2011 A* conf
Bandits, Query Learning, and the Haystack Dimension.
COLT
Kareem Amin, Michael J. Kearns, Umar Syed
2011 A conf
Graphical Models for Bandit Problems.
UAI
Kareem Amin, Michael J. Kearns, Umar Syed
2011 A* conf
There's something about MRAI: Timing diversity can exponentially worsen BGP convergence.
INFOCOM
Alex Fabrikant, Umar Syed, Jennifer Rexford
2010 — conf
A Reduction from Apprenticeship Learning to Classification.
NIPS
Umar Syed, Robert E. Schapire
2010 J jnl
Adapting to the Shifting Intent of Search Queries
CoRR
Umar Syed, Aleksandrs Slivkins, Nina Mishra
2010 A* conf
Private and Third-Party Randomization in Risk-Sensitive Equilibrium Concepts.
AAAI
Mickey Brautbar, Michael J. Kearns, Umar Syed
2010 — conf
Semi-Supervised Learning with Adversarially Missing Label Information.
NIPS
Umar Syed, Ben Taskar
2009 — conf
Adapting to the Shifting Intent of Search Queries.
NIPS
Umar Syed, Aleksandrs Slivkins, Nina Mishra
2008 A* conf
Apprenticeship learning using linear programming.
ICML
Umar Syed, Michael H. Bowling, Robert E. Schapire
2008 — conf
Using Automatically Transcribed Dialogs to Learn User Models in a Spoken Dialog System.
ACL (2)
Umar Syed, Jason D. Williams
2007 — conf
A Game-Theoretic Approach to Apprenticeship Learning.
NIPS
Umar Syed, Robert E. Schapire
2007 A conf
Imitation Learning with a Value-Based Prior.
UAI
Umar Syed, Robert E. Schapire
2003 B conf
Using a mixture of probabilistic decision trees for direct prediction of protein function.
RECOMB
Umar Syed, Golan Yona