Umar Syed
22 papers · 2007–2026 · 7 conferences · across top CS/AI conferences
Achievements
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π§ Keyword Pioneer π Interdisciplinary Bridge π Renaissance Researcher (6) πΊοΈ Taxonomy Completionist (23) π£ Hot Topic Early Bird
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Cross-Pollinator
(11)
πΊοΈ
Taxonomy Completionist
(23)
π§
Keyword Pioneer
π
Keyword Trendsetter Combo
(3)
π§¬
Topic Evolution
π
Keyword Champion
(2)
ποΈ
Keyword Collector
(59)
π
Trend Setter
π
Conference Pioneer
π
Century Club
(20)
π₯
Unstoppable
(5)
Conferences
NIPS (9)
AISTATS (4)
ICML (4)
ALT (2)
ACL (1)
COLT (1)
EMNLP (1)
Top co-authors
Research topics
Keywords
regret bound
(4)
differential privacy
(4)
multi-armed bandit
(3)
game theory
(3)
rademacher complexity
(3)
online learning
(3)
online algorithm
(2)
generalization bound
(2)
repeated auction
(2)
apprenticeship learning
(2)
convex optimization
(2)
ensemble learning
(2)
strategic buyer
(2)
multi-class classification
(2)
mechanism design
(2)
empirical risk minimization
(2)
imitation learning
(2)
regret minimization
(2)
resource allocation
(2)
synthetic datum
(2)
Papers
Learning from Synthetic Data: Limitations of ERM
ALT 2026
Multi-distribution Learning: From Worst-Case Optimality to Lexicographic Min-Max Optimality
ALT 2026
Near-optimal algorithms for private estimation and sequential testing of collision probability
AISTATS 2025
Lexicographic Optimization: Algorithms and Stability
AISTATS 2024
Private prediction for large-scale synthetic text generation
EMNLP 2024
Label differential privacy and private training data release
ICML 2023
Label differential privacy via clustering
AISTATS 2022
Private and Communication-Efficient Algorithms for Entropy Estimation
NIPS 2022
Private optimization without constraint violations
AISTATS 2021
Statistical Cost Sharing
NIPS 2017
Pricing a Low-regret Seller
ICML 2016
Structural Maxent Models
ICML 2015
Deep Boosting
ICML 2014
Multi-Class Deep Boosting
NIPS 2014
Repeated Contextual Auctions with Strategic Buyers
NIPS 2014
Learning Prices for Repeated Auctions with Strategic Buyers
NIPS 2013
Bandits, Query Learning, and the Haystack Dimension
COLT 2011
A Reduction from Apprenticeship Learning to Classification
NIPS 2010
Semi-Supervised Learning with Adversarially Missing Label Information
NIPS 2010
Adapting to the Shifting Intent of Search Queries
NIPS 2009
Using Automatically Transcribed Dialogs to Learn User Models in a Spoken Dialog System
ACL 2008
A Game-Theoretic Approach to Apprenticeship Learning
NIPS 2007