Lee Cohen
Stanford
About
I'm a postdoctoral researcher at Stanford, hosted by Omer Reingold.
Before that, I was a Research Assistant Professor at Toyota Technological Institute at Chicago (TTIC). I completed my PhD in Computer Science at Tel Aviv University, where I was very fortunate to be advised by Yishay Mansour.
My research lies at the intersection of learning theory and societal challenges. In particular, I develop methodologies to address fairness, incentive awareness, personalization, and explainability in machine learning and decision-making.
Email: leecohencs AT gmail DOT com
My CV is available here. My pronouns are she/her/hers.
I am on the academic job market!
News
Aug 2023: Avrim Blum and I are organizing DavidFest & YishayFest: Celebratory/milestone birthday workshops in honor of David McAllester and Yishay Mansour at TTIC!
2021: Check out our WiML-T event at COLT 2021!
Oct 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!
Feb-Mar 2020: Visiting Efficient Algorithms research group, TU Berlin
Preprints
Probably Approximately Precision and Recall Learning
Lee Cohen, Yishay Mansour, Shay Moran, and Han Shao
arxiv, 2024
Two Tickets are Better than One: Fair and Accurate Hiring Under Strategic LLM Manipulations
Lee Cohen, Connie Hong, Jack Hsieh, and Judy Shen
2024
Utilizing Adversarial Examples for Bias Mitigation and Accuracy Enhancement
Pushkar Shukla, Dhruv Srikanth, Lee Cohen, Matthew Turk
arxiv, 2024
Publications
Lee Cohen, Saeed Sharifi-Malvajerdi, Kevin Stangl, Ali Vakilian, and Juba Ziani
Accepted to Conference on Neural Information Processing Systems (NeurIPS) 2024
[arxiv]
Lee Cohen, Yishay Mansour, Shay Moran, and Han Shao
Conference on Learning Theory (COLT) 2024
[arxiv]
Lee Cohen and Han Shao
Symposium on Foundations of Responsible Computing (FORC) 2024
[arxiv]
Han Shao, Lee Cohen, Avrim Blum, Yishay Mansour, Aadirupa Saha, and Matthew R Walter
Conference on Neural Information Processing Systems (NeurIPS) 2023
[arxiv]
Lee Cohen, Yishay Mansour, and Michal Moshkovitz
Conference on Neural Information Processing Systems (NeurIPS) 2023
[arxiv]
Lee Cohen*, Saeed Sharifi-Malvajerdi*, Kevin Stangl*, Ali Vakilian*, and Juba Ziani*
International Conference on Machine Learning (ICML) 2023
[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
[arxiv]
Lee Cohen and Yishay Mansour
ACM Conference on Economics and Computation (EC) 2019
[arxiv]
* 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)