Yahav Bechavod

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 12

Top Topics

Classification Systems

Causal Structure

Similarity Metric

Preprocessing Step

Top Venues

Publications

Yahav Bechavod
Monotone Individual Fairness. CoRR (2024)
Yahav Bechavod, Aaron Roth
Individually Fair Learning with One-Sided Feedback. ICML (2023)
Yahav Bechavod, Aaron Roth
Individually Fair Learning with One-Sided Feedback. CoRR (2022)
Yahav Bechavod, Chara Podimata, Zhiwei Steven Wu, Juba Ziani
Information Discrepancy in Strategic Learning. ICML (2022)
Yahav Bechavod, Katrina Ligett, Zhiwei Steven Wu, Juba Ziani
Gaming Helps! Learning from Strategic Interactions in Natural Dynamics. AISTATS (2021)
Yahav Bechavod, Chara Podimata, Zhiwei Steven Wu, Juba Ziani
Information Discrepancy in Strategic Learning. CoRR (2021)
Yahav Bechavod, Christopher Jung, Zhiwei Steven Wu
Metric-Free Individual Fairness in Online Learning. NeurIPS (2020)
Yahav Bechavod, Christopher Jung, Zhiwei Steven Wu
Metric-Free Individual Fairness in Online Learning. CoRR (2020)
Yahav Bechavod, Katrina Ligett, Zhiwei Steven Wu, Juba Ziani
Causal Feature Discovery through Strategic Modification. CoRR (2020)
Yahav Bechavod, Katrina Ligett, Aaron Roth, Bo Waggoner, Zhiwei Steven Wu
Equal Opportunity in Online Classification with Partial Feedback. NeurIPS (2019)
Yahav Bechavod, Katrina Ligett, Aaron Roth, Bo Waggoner, Zhiwei Steven Wu
Equal Opportunity in Online Classification with Partial Feedback. CoRR (2019)
Yahav Bechavod, Katrina Ligett
Learning Fair Classifiers: A Regularization-Inspired Approach. CoRR (2017)