Yahav Bechavod

• Metric-Free Individual Fairness in Online Learning
• • Machine & Deep Learning Israel. December 2020. Video here.
  • NeurIPS Oral Presentation. December 2020. Video here.
  • Hebrew University Avdanced Seminar in Machine Learning. November 2020. Video here.
• An Introduction to Algorithmic Fairness
• • Hebrew University Federmann Center for the Study of Rationality. February 2020.
• Equal Opportunity in Online Classification with Partial Feedback
• • Simons Institute Workshop on Recent Developments in Research on Fairness. July 2019. Video here.

My research explores foundational questions in the fields of Algorithmic Fairness, Differential Privacy and Learning Theory. I have also worked on and have ongoing interest in settings where machine learning algorithms interact with strategic behavior.

In 2019, I had the privilege of spending an amazing summer at Berkeley, California, visiting the Simons Institute as a participant in the Summer Cluster: Algorithmic Fairness program.

In the Fall of 2017, I was fortunate to visit the University of Pennsylvania at the invitation of Aaron Roth and Michael Kearns.

I received both my MSc (Computer Science, Summa Cum Laude) and BSc (Computer Science and Mathematics) from the Hebrew University.

In my spare time, I shoot select 3-pointers on select basketball courts, speak fluent Arabic and not-so-fluent Japanese, blog about CS and non-CS stuff, and travel to cool places on pandemic-less times.