Lee Cohen
9 papers · 2020–2025 · 4 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (23) π£ Hot Topic Early Bird π Academic Marathon Β· Sprint π Conference Polyglot Β· Bronze π Interdisciplinary Bridge Β· Bronze
π
Renaissance Researcher
(5)
π₯
Unstoppable Β· Bronze
Venues
Top co-authors
Research topics
Machine Learning
(9)
Optimization & Theory
(6)
Artificial Intelligence
(5)
Core AI
(5)
Core Methods
(3)
Learning Types
(3)
Reinforcement Learning
(2)
Application Areas
(2)
Methods
(2)
Data Science & Analytics
(1)
Mathematics & Optimization
(1)
Natural Language Processing
(1)
Applications Β· Natural Language Processing
(1)
Applications Β· Data Science & Analytics
(1)
Optimization
(1)
Keywords
strategic classification
(4)
game theory
(2)
sample complexity
(2)
online learning
(2)
markov decision process
(2)
regret bound
(2)
preference learning
(1)
uniform convergence
(1)
multi-label learning
(1)
pac learning
(1)
bayesian inference
(1)
sequential decision
(1)
ucb algorithm
(1)
stationary distribution
(1)
approximation algorithm
(1)
multi-armed bandit
(1)
multi-objective optimization
(1)
fairness
(1)
group fairness
(1)
active learning
(1)
Papers
Two Tickets are Better than One: Fair and Accurate Hiring Under Strategic LLM Manipulations
ICML 2025
Bayesian Strategic Classification
NeurIPS 2024
Learnability Gaps of Strategic Classification
COLT 2024
Eliciting User Preferences for Personalized Multi-Objective Decision Making through Comparative Feedback
NeurIPS 2023
Finding Safe Zones of Markov Decision Processes Policies
NeurIPS 2023
Sequential Strategic Screening
ICML 2023
Modeling Attrition in Recommender Systems with Departing Bandits
AAAI 2022
Dueling Bandits with Team Comparisons
NeurIPS 2021
Sample Complexity of Uniform Convergence for Multicalibration
NeurIPS 2020