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ORCIDLee Cohen 0001
Person information
- affiliation: Toyota Technological Institute at Chicago (TTIC), IL, USA
Other persons with the same name
- Lee Cohen 0002 — University of Michigan, Ann Arbor, MI, USA
- Lee Cohen 0003 — Stanford University, CA, USA
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Books and Theses
- 2022
[b1]Lee Cohen:
Topics in Machine Learning, Reinforcement Learning and Societal Challenges. Tel Aviv University, Israel, 2022
Conference and Workshop Papers
- 2024
- [c10]Lee Cohen, Yishay Mansour, Shay Moran, Han Shao:
Learnability Gaps of Strategic Classification. COLT 2024: 1223-1259 - [c9]Lee Cohen, Han Shao:
Incentivized Collaboration in Active Learning. FORC 2024: 2:1-2:20 - 2023
- [c8]Lee Cohen, Saeed Sharifi-Malvajerdi, Kevin Stangl, Ali Vakilian, Juba Ziani:
Sequential Strategic Screening. ICML 2023: 6279-6295 - [c7]Lee Cohen, Yishay Mansour, Michal Moshkovitz:
Finding Safe Zones of Markov Decision Processes Policies. NeurIPS 2023 - [c6]Han Shao, Lee Cohen, Avrim Blum, Yishay Mansour, Aadirupa Saha, Matthew R. Walter:
Eliciting User Preferences for Personalized Multi-Objective Decision Making through Comparative Feedback. NeurIPS 2023 - 2022
- [c5]Omer Ben-Porat, Lee Cohen, Liu Leqi, Zachary C. Lipton, Yishay Mansour:
Modeling Attrition in Recommender Systems with Departing Bandits. AAAI 2022: 6072-6079 - 2021
- [c4]Lee Cohen, Ulrike Schmidt-Kraepelin, Yishay Mansour:
Dueling Bandits with Team Comparisons. NeurIPS 2021: 20633-20644 - 2020
- [c3]Lee Cohen, Zachary C. Lipton, Yishay Mansour:
Efficient Candidate Screening Under Multiple Tests and Implications for Fairness. FORC 2020: 1:1-1:20 - [c2]Eliran Shabat, Lee Cohen, Yishay Mansour:
Sample Complexity of Uniform Convergence for Multicalibration. NeurIPS 2020 - 2019
- [c1]Lee Cohen, Yishay Mansour:
Optimal Algorithm for Bayesian Incentive-Compatible Exploration. EC 2019: 135-151
Informal and Other Publications
- 2024
- [i11]Lee Cohen, Saeed Sharifi-Malvajerdi, Kevin Stangl, Ali Vakilian, Juba Ziani:
Bayesian Strategic Classification. CoRR abs/2402.08758 (2024) - [i10]Lee Cohen, Yishay Mansour, Shay Moran, Han Shao:
Learnability Gaps of Strategic Classification. CoRR abs/2402.19303 (2024) - 2023
- [i9]Lee Cohen, Saeed Sharifi-Malvajerdi, Kevin Stangl, Ali Vakilian
, Juba Ziani:
Sequential Strategic Screening. CoRR abs/2301.13397 (2023) - [i8]Han Shao, Lee Cohen, Avrim Blum, Yishay Mansour, Aadirupa Saha, Matthew R. Walter:
Eliciting User Preferences for Personalized Multi-Objective Decision Making through Comparative Feedback. CoRR abs/2302.03805 (2023) - [i7]Lee Cohen, Han Shao:
Incentivized Collaboration in Active Learning. CoRR abs/2311.00260 (2023) - 2022
- [i6]Lee Cohen, Yishay Mansour, Michal Moshkovitz:
Finding Safe Zones of policies Markov Decision Processes. CoRR abs/2202.11593 (2022) - [i5]Omer Ben-Porat, Lee Cohen, Liu Leqi, Zachary C. Lipton, Yishay Mansour:
Modeling Attrition in Recommender Systems with Departing Bandits. CoRR abs/2203.13423 (2022) - 2021
- [i4]Lee Cohen, Ulrike Schmidt-Kraepelin, Yishay Mansour:
Dueling Bandits with Team Comparisons. CoRR abs/2107.02738 (2021) - 2020
- [i3]Eliran Shabat, Lee Cohen, Yishay Mansour:
Sample Complexity of Uniform Convergence for Multicalibration. CoRR abs/2005.01757 (2020) - 2019
- [i2]Lee Cohen, Zachary C. Lipton, Yishay Mansour:
Efficient candidate screening under multiple tests and implications for fairness. CoRR abs/1905.11361 (2019) - 2018
- [i1]Lee Cohen, Yishay Mansour:
Optimal Algorithm for Bayesian Incentive-Compatible. CoRR abs/1810.10304 (2018)
Coauthor Index
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