Toyota Technological Institute
at Chicago (TTIC )
I'm a Research Assistant Professor at Toyota Technological Institute at Chicago (TTIC), a philanthropically endowed academic computer science institute located on the University of Chicago campus.
Prior to that, I did my PhD in the Blavatnik School of Computer Science at Tel Aviv University, where I was very fortunate to be advised by Yishay Mansour.
I am broadly interested in learning theory, with a particular interest in problems that relate to societal challenges.
Email: leecohencs AT gmail DOT com
Check out our WiML-T event at COLT 2021!
October 2020: Interested in ML theory & Identify yourself as a woman? You can sign up for our mentorship program for women in machine learning theory either as a mentor, mentee, or both!
February-March 2020: Visiting Efficient Algorithms research group, TU Berlin
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
Sequential Strategic Screening
Lee Cohen, Saeed Sharifi-Malvajerdi, Kevin Stangl, Ali Vakilian, Juba Ziani
Accepted to International Conference on Machine Learning (ICML) 2023
Finding Safe Zones of Markov Decision Processes Policies
Lee Cohen, Yishay Mansour and Michal Moshkovitz
Omer Ben-Porat*, Lee Cohen*, Liu Leqi*, Zachary C. Lipton , and Yishay Mansour
Oral presentation, AAAI Conference on Artificial Intelligence (AAAI) 2022 (Oral)
Lee Cohen*, Ulrike Schmidt-Kraepelin* and Yishay Mansour
Conference on Neural Information Processing Systems (NeurIPS) 2021
Eliran Shabat*, Lee Cohen*, and Yishay Mansour
Conference on Neural Information Processing Systems (NeurIPS) 2020
Lee Cohen, Zachary C. Lipton, and Yishay Mansour
Symposium on Foundations of Responsible Computing (FORC) 2020
Lee Cohen and Yishay Mansour
ACM Conference on Economics and Computation (EC) 2019
* Equal contribution.
Spring 19/20: Reinforcement Learning (Teaching assistant)
Spring 18/19: Reinforcement Learning (Teaching assistant)
Fall 18/19: Advanced topics in ML and AGT (Graduate level course, grader)