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ORCIDYahav Bechavod
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- affiliation: Hebrew University of Jerusalem, Israel
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Conference and Workshop Papers
- 2024
[c6]Yahav Bechavod:
Monotone Individual Fairness. ICML 2024- 2023
- [c5]Yahav Bechavod, Aaron Roth:
Individually Fair Learning with One-Sided Feedback. ICML 2023: 1954-1977 - 2022
- [c4]Yahav Bechavod, Chara Podimata, Zhiwei Steven Wu, Juba Ziani:
Information Discrepancy in Strategic Learning. ICML 2022: 1691-1715 - 2021
- [c3]Yahav Bechavod, Katrina Ligett, Zhiwei Steven Wu
, Juba Ziani:
Gaming Helps! Learning from Strategic Interactions in Natural Dynamics. AISTATS 2021: 1234-1242 - 2020
- [c2]Yahav Bechavod, Christopher Jung, Zhiwei Steven Wu:
Metric-Free Individual Fairness in Online Learning. NeurIPS 2020 - 2019
- [c1]Yahav Bechavod, Katrina Ligett, Aaron Roth, Bo Waggoner, Zhiwei Steven Wu:
Equal Opportunity in Online Classification with Partial Feedback. NeurIPS 2019: 8972-8982
Informal and Other Publications
- 2024
- [i7]Yahav Bechavod:
Monotone Individual Fairness. CoRR abs/2403.06812 (2024) - 2022
- [i6]Yahav Bechavod, Aaron Roth:
Individually Fair Learning with One-Sided Feedback. CoRR abs/2206.04475 (2022) - 2021
- [i5]Yahav Bechavod, Chara Podimata, Zhiwei Steven Wu, Juba Ziani:
Information Discrepancy in Strategic Learning. CoRR abs/2103.01028 (2021) - 2020
- [i4]Yahav Bechavod, Christopher Jung, Zhiwei Steven Wu:
Metric-Free Individual Fairness in Online Learning. CoRR abs/2002.05474 (2020) - [i3]Yahav Bechavod, Katrina Ligett, Zhiwei Steven Wu, Juba Ziani:
Causal Feature Discovery through Strategic Modification. CoRR abs/2002.07024 (2020) - 2019
- [i2]Yahav Bechavod, Katrina Ligett, Aaron Roth, Bo Waggoner, Zhiwei Steven Wu:
Equal Opportunity in Online Classification with Partial Feedback. CoRR abs/1902.02242 (2019) - 2017
- [i1]Yahav Bechavod, Katrina Ligett:
Learning Fair Classifiers: A Regularization-Inspired Approach. CoRR abs/1707.00044 (2017)
Coauthor Index
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