Lee Cohen

According to our database, Lee Cohen authored at least 18 papers between 2018 and 2026.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of three.

2026

Online Set Learning from Precision and Recall Feedback.

Lee Cohen, Yishay Mansour, Shay Moran, Han Shao

CoRR, May, 2026

2025

Probably Approximately Precision and Recall Learning.

Lee Cohen, Yishay Mansour, Shay Moran, Han Shao

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

Two Tickets are Better than One: Fair and Accurate Hiring Under Strategic LLM Manipulations.

Lee Cohen, Connie Hong, Jack Hsieh, Judy Hanwen Shen

Proceedings of the Forty-second International Conference on Machine Learning, 2025

2024

Utilizing Adversarial Examples for Bias Mitigation and Accuracy Enhancement.

Pushkar Shukla, Dhruv Srikanth, Lee Cohen, Matthew Turk

CoRR, 2024

Bayesian Strategic Classification.

Lee Cohen, Saeed Sharifi-Malvajerdi, Kevin Stangl, Ali Vakilian, Juba Ziani

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

Incentivized Collaboration in Active Learning.

Lee Cohen, Han Shao

Proceedings of the 5th Symposium on Foundations of Responsible Computing, 2024

Learnability Gaps of Strategic Classification.

Lee Cohen, Yishay Mansour, Shay Moran, Han Shao

Proceedings of the Thirty Seventh Annual Conference on Learning Theory, June 30, 2024

2023

Eliciting User Preferences for Personalized Multi-Objective Decision Making through Comparative Feedback.

Han Shao, Lee Cohen, Avrim Blum, Yishay Mansour, Aadirupa Saha, Matthew R. Walter

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Finding Safe Zones of Markov Decision Processes Policies.

Lee Cohen, Yishay Mansour, Michal Moshkovitz

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Sequential Strategic Screening.

Lee Cohen, Saeed Sharifi-Malvajerdi, Kevin Stangl, Ali Vakilian, Juba Ziani

Proceedings of the International Conference on Machine Learning, 2023

2022

Topics in Machine Learning, Reinforcement Learning and Societal Challenges

Lee Cohen

PhD thesis, 2022

Finding Safe Zones of policies Markov Decision Processes.

Lee Cohen, Yishay Mansour, Michal Moshkovitz

CoRR, 2022

Modeling Attrition in Recommender Systems with Departing Bandits.

Omer Ben-Porat, Lee Cohen, Liu Leqi, Zachary C. Lipton, Yishay Mansour

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Dueling Bandits with Team Comparisons.

Lee Cohen, Ulrike Schmidt-Kraepelin, Yishay Mansour

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020

Sample Complexity of Uniform Convergence for Multicalibration.

Eliran Shabat, Lee Cohen, Yishay Mansour

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Efficient Candidate Screening Under Multiple Tests and Implications for Fairness.

Lee Cohen, Zachary C. Lipton, Yishay Mansour

Proceedings of the 1st Symposium on Foundations of Responsible Computing, 2020

2019

Optimal Algorithm for Bayesian Incentive-Compatible Exploration.

Lee Cohen, Yishay Mansour

Proceedings of the 2019 ACM Conference on Economics and Computation, 2019

2018

Optimal Algorithm for Bayesian Incentive-Compatible.

Lee Cohen, Yishay Mansour

CoRR, 2018