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Lee Cohen
Lee Cohen
Verified email at stanford.edu - Homepage
Title
Cited by
Cited by
Year
Efficient candidate screening under multiple tests and implications for fairness
L Cohen, ZC Lipton, Y Mansour
Symposium on Foundations of Responsible Computing, FORC 2020, 2019
472019
Sample complexity of uniform convergence for multicalibration
E Shabat, L Cohen, Y Mansour
Advances in Neural Information Processing Systems 33, 13331-13340, 2020
262020
Optimal algorithm for bayesian incentive-compatible exploration
L Cohen, Y Mansour
Proceedings of the 2019 ACM Conference on Economics and Computation, 135-151, 2019
192019
Modeling attrition in recommender systems with departing bandits
O Ben-Porat, L Cohen, L Leqi, ZC Lipton, Y Mansour
Proceedings of the AAAI Conference on Artificial Intelligence 36 (6), 6072-6079, 2022
122022
Sequential Strategic Screening
L Cohen, S Sharifi-Malvajerdi, K Stangl, A Vakilian, J Ziani
International Conference on Machine Learning, 6279-6295, 2023
32023
Eliciting user preferences for personalized multi-objective decision making through comparative feedback
H Shao, L Cohen, A Blum, Y Mansour, A Saha, M Walter
Advances in Neural Information Processing Systems 36, 2024
22024
Finding Safe Zones of Markov Decision Processes Policies
L Cohen, Y Mansour, M Moshkovitz
Advances in Neural Information Processing Systems 37, 2023
2*2023
Incentivized Collaboration in Active Learning
L Cohen, H Shao
arXiv preprint arXiv:2311.00260, 2023
12023
Learnability Gaps of Strategic Classification
L Cohen, Y Mansour, S Moran, H Shao
arXiv preprint arXiv:2402.19303, 2024
2024
Bayesian Strategic Classification
L Cohen, S Sharifi-Malvajerdi, K Stangl, A Vakilian, J Ziani
arXiv preprint arXiv:2402.08758, 2024
2024
Topics in Machine Learning, Reinforcement Learning and Societal Challenges
L Cohen
Tel Aviv University, 2022
2022
Dueling Bandits with Team Comparisons
L Cohen, U Schmidt-Kraepelin, Y Mansour
Advances in Neural Information Processing Systems 34, 20633-20644, 2021
2021
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Articles 1–12