Lee Cohen
Toyota Technological Institute
at Chicago (TTIC )
About
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
News
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
Papers
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
In submission.
[arxiv]
Sequential Strategic Screening
Lee Cohen, Saeed Sharifi-Malvajerdi, Kevin Stangl, Ali Vakilian, Juba Ziani
Accepted to International Conference on Machine Learning (ICML) 2023
[arxiv]
Finding Safe Zones of Markov Decision Processes Policies
Lee Cohen, Yishay Mansour and Michal Moshkovitz
In submission.
[arxiv]
Omer Ben-Porat*, Lee Cohen*, Liu Leqi*, Zachary C. Lipton , and Yishay Mansour
Oral presentation, AAAI Conference on Artificial Intelligence (AAAI) 2022 (Oral)
[arXiv]
Lee Cohen*, Ulrike Schmidt-Kraepelin* and Yishay Mansour
Conference on Neural Information Processing Systems (NeurIPS) 2021
[arxiv]
Eliran Shabat*, Lee Cohen*, and Yishay Mansour
Conference on Neural Information Processing Systems (NeurIPS) 2020
[arxiv]
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.
Teaching
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)