Lee Cohen - RankMe

27 papers A* 10Journal 14Unranked 2

Year	Rank	Type	Title / Venue / Authors
2025	A*	`conf`	Two Tickets are Better than One: Fair and Accurate Hiring Under Strategic LLM Manipulations. ICML Lee Cohen, Connie Hong, Jack Hsieh, Judy Hanwen Shen
2025	J	`jnl`	Two Tickets are Better than One: Fair and Accurate Hiring Under Strategic LLM Manipulations. CoRR Lee Cohen, Jack Hsieh, Connie Hong, Judy Hanwen Shen
2024	A*	`conf`	Bayesian Strategic Classification. NeurIPS Lee Cohen, Saeed Sharifi-Malvajerdi, Kevin Stangl, Ali Vakilian, Juba Ziani
2024	J	`jnl`	Bayesian Strategic Classification. CoRR Lee Cohen, Saeed Sharifi-Malvajerdi, Kevin Stangl, Ali Vakilian, Juba Ziani
2024	—	`conf`	Incentivized Collaboration in Active Learning. FORC Lee Cohen, Han Shao
2024	A*	`conf`	Learnability Gaps of Strategic Classification. COLT Lee Cohen, Yishay Mansour, Shay Moran, Han Shao
2024	J	`jnl`	Learnability Gaps of Strategic Classification. CoRR Lee Cohen, Yishay Mansour, Shay Moran, Han Shao
2024	J	`jnl`	Probably Approximately Precision and Recall Learning. CoRR Lee Cohen, Yishay Mansour, Shay Moran, Han Shao
2024	J	`jnl`	Utilizing Adversarial Examples for Bias Mitigation and Accuracy Enhancement. CoRR Pushkar Shukla, Dhruv Srikanth, Lee Cohen, Matthew Turk
2023	A*	`conf`	Eliciting User Preferences for Personalized Multi-Objective Decision Making through Comparative Feedback. NeurIPS Han Shao, Lee Cohen, Avrim Blum, Yishay Mansour, Aadirupa Saha, Matthew R. Walter
2023	J	`jnl`	Eliciting User Preferences for Personalized Multi-Objective Decision Making through Comparative Feedback. CoRR Han Shao, Lee Cohen, Avrim Blum, Yishay Mansour, Aadirupa Saha, Matthew R. Walter
2023	A*	`conf`	Finding Safe Zones of Markov Decision Processes Policies. NeurIPS Lee Cohen, Yishay Mansour, Michal Moshkovitz
2023	J	`jnl`	Incentivized Collaboration in Active Learning. CoRR Lee Cohen, Han Shao
2023	A*	`conf`	Sequential Strategic Screening. ICML Lee Cohen, Saeed Sharifi-Malvajerdi, Kevin Stangl, Ali Vakilian, Juba Ziani
2023	J	`jnl`	Sequential Strategic Screening. CoRR Lee Cohen, Saeed Sharifi-Malvajerdi, Kevin Stangl, Ali Vakilian, Juba Ziani
2022	J	`jnl`	Finding Safe Zones of policies Markov Decision Processes. CoRR Lee Cohen, Yishay Mansour, Michal Moshkovitz
2022	A*	`conf`	Modeling Attrition in Recommender Systems with Departing Bandits. AAAI Omer Ben-Porat, Lee Cohen, Liu Leqi, Zachary C. Lipton, Yishay Mansour
2022	J	`jnl`	Modeling Attrition in Recommender Systems with Departing Bandits. CoRR Omer Ben-Porat, Lee Cohen, Liu Leqi, Zachary C. Lipton, Yishay Mansour
2022	—	`—`	Topics in Machine Learning, Reinforcement Learning and Societal Challenges Lee Cohen
2021	A*	`conf`	Dueling Bandits with Team Comparisons. NeurIPS Lee Cohen, Ulrike Schmidt-Kraepelin, Yishay Mansour
2021	J	`jnl`	Dueling Bandits with Team Comparisons. CoRR Lee Cohen, Ulrike Schmidt-Kraepelin, Yishay Mansour
2020	—	`conf`	Efficient Candidate Screening Under Multiple Tests and Implications for Fairness. FORC Lee Cohen, Zachary C. Lipton, Yishay Mansour
2020	A*	`conf`	Sample Complexity of Uniform Convergence for Multicalibration. NeurIPS Eliran Shabat, Lee Cohen, Yishay Mansour
2020	J	`jnl`	Sample Complexity of Uniform Convergence for Multicalibration. CoRR Eliran Shabat, Lee Cohen, Yishay Mansour
2019	J	`jnl`	Efficient candidate screening under multiple tests and implications for fairness. CoRR Lee Cohen, Zachary C. Lipton, Yishay Mansour
2019	A*	`conf`	Optimal Algorithm for Bayesian Incentive-Compatible Exploration. EC Lee Cohen, Yishay Mansour
2018	J	`jnl`	Optimal Algorithm for Bayesian Incentive-Compatible. CoRR Lee Cohen, Yishay Mansour