[Jan-24-2021] | Our new work "Gaming Helps! Learning from Strategic Interactions in Natural Dynamics" will be presented at AISTATS 2021! |
[Jan-18-2021] | Check out our new "TOC4Fairness" research collaboration seminar series and blog, starting this week! |
[Nov-26-2020] | I gave a talk about our new paper, "Metric-Free Individual Fairness in Online Learning", at The Hebrew University Advanced Seminar in Machine Learning. The video is here. |
[Oct-15-2020] | Added slides for "Metric-Free Individual Fairness in Online Learning". |
[Sep-29-2020] | Our work "Metric-Free Individual Fairness in Online Learning" has been selected for oral presentation at NeurIPS 2020! |
[Jul-02-2020] | Our new paper "Metric-Free Individual Fairness in Online Learning" will be featured at the Participatory Approaches to Machine Learning and Human in the Loop Learning workshops at ICML 2020, and at the Workshop on Mechanism Design for Social Good. |
[Jun-30-2020] | Check out our new paper "Causal Feature Discovery through Strategic Modification" featured at the Incentives in Machine Learning workshop at ICML 2020! |
[Sep-03-2019] | Our new work "Equal Opportunity in Online Classification with Partial Feedback" has been accepted to NeurIPS 2019! |
[Aug-01-2019] | I will be visiting Microsoft Research New England August 5-9, 2019. |
[Jul-06-2019] | I will be presenting our new paper "Equal Opportunity in Online Classification with Partial Feedback" as part of the Recent Developments in Research on Fairness workshop at Simons Institute. Slides are available here. |
[May-10-2019] | Excited to take part in the Summer Cluster: Algorithmic Fairness program at Simons Institute! |
Gaming Helps! Learning from Strategic Interactions in Natural Dynamics
[arXiv]
[Video]
Yahav Bechavod, Katrina Ligett, Zhiwei Steven Wu, Juba Ziani
To Appear in Conference on Artificial Intelligence and Statistics (AISTATS) 2021
Metric-Free Individual Fairness in Online Learning
[arXiv]
[Conference Version]
[Talk at HUJI ML Seminar]
[Slides]
Yahav Bechavod, Christopher Jung, Zhiwei Steven Wu
Conference on Neural Information Processing Systems (NeurIPS) 2020
Selected for Oral Presentation (1.1% Selection rate, 105/9467 submissions.)
Equal Opportunity in Online Classification with Partial Feedback
[arXiv]
[Conference Version]
[Talk at Simons]
[Slides]
Yahav Bechavod, Katrina Ligett, Aaron Roth, Bo Waggoner, Zhiwei Steven Wu
Conference on Neural Information Processing Systems (NeurIPS) 2019
Penalizing Unfairness in Binary Classification
[arXiv]
[Slides]
[Code]
Yahav Bechavod, Katrina Ligett
Fairness, Accountability and Transparency in Machine Learning (FAT/ML) 2017
Rothberg Family Bulidings A-435, Givat Ram Campus, Jerusalem, Israel
Office: +972-2-549-4597
Email: yahav [dot] bechavod [at] cs.huji.ac.il