Umar Syed
22 papers · 2007–2026 · 7 venues · across top CS/AI venues
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Achievements
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🗺️ Taxonomy Completionist (52) 🏃 Academic Marathon · Full 🌍 Conference Polyglot · Silver 🌉 Interdisciplinary Bridge · Diamond 🐣 Hot Topic Early Bird
🏆
Keyword Champion
🧭
Keyword Pioneer
🧬
Topic Evolution
📈
Trend Setter
🔥
Unstoppable · Bronze
🚀
Conference Pioneer
🌈
Renaissance Researcher
(7)
💎
Century Club · Bronze
🗃️
Keyword Collector
(114)
Top co-authors
Research topics
Machine Learning
(18)
Optimization & Theory
(13)
Learning Types
(12)
Artificial Intelligence
(10)
Core AI
(8)
Mathematics & Optimization
(6)
Optimization
(6)
Core Methods
(5)
Security & Privacy
(4)
Application Areas
(4)
Differential Privacy
(4)
Computer Science
(2)
Data Science & Analytics
(2)
Deep Learning
(2)
Natural Language Processing
(2)
Keywords
regret bound
(4)
differential privacy
(4)
multi-armed bandit
(3)
game theory
(3)
online learning
(3)
generalization bound
(3)
rademacher complexity
(3)
convex optimization
(2)
strategic buyer
(2)
ensemble learning
(2)
apprenticeship learning
(2)
multi-class classification
(2)
empirical risk minimization
(2)
resource allocation
(2)
reward function
(2)
mechanism design
(2)
imitation learning
(2)
regret minimization
(2)
sample complexity
(2)
online algorithm
(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
NeurIPS 2022
Private optimization without constraint violations
AISTATS 2021
Statistical Cost Sharing
NeurIPS 2017
Pricing a Low-regret Seller
ICML 2016
Structural Maxent Models
ICML 2015
Deep Boosting
ICML 2014
Multi-Class Deep Boosting
NeurIPS 2014
Repeated Contextual Auctions with Strategic Buyers
NeurIPS 2014
Learning Prices for Repeated Auctions with Strategic Buyers
NeurIPS 2013
Bandits, Query Learning, and the Haystack Dimension
COLT 2011
A Reduction from Apprenticeship Learning to Classification
NeurIPS 2010
Semi-Supervised Learning with Adversarially Missing Label Information
NeurIPS 2010
Adapting to the Shifting Intent of Search Queries
NeurIPS 2009
Using Automatically Transcribed Dialogs to Learn User Models in a Spoken Dialog System
ACL 2008
A Game-Theoretic Approach to Apprenticeship Learning
NeurIPS 2007