Yahav Bechavod

16 papers A* 5A 1Journal 10
YearRankTypeTitle / Venue / Authors
2025 J jnl
Dynamic Regret Bounds for Online Omniprediction with Long Term Constraints.
CoRR
Yahav Bechavod, Jiuyao Lu, Aaron Roth
2025 J jnl
Online Omniprediction with Long-Term Constraints.
CoRR
Yahav Bechavod, Jiuyao Lu, Aaron Roth
2024 A* conf
Monotone Individual Fairness.
ICML
Yahav Bechavod
2024 J jnl
Monotone Individual Fairness.
CoRR
Yahav Bechavod
2023 A* conf
Individually Fair Learning with One-Sided Feedback.
ICML
Yahav Bechavod, Aaron Roth
2022 J jnl
Individually Fair Learning with One-Sided Feedback.
CoRR
Yahav Bechavod, Aaron Roth
2022 A* conf
Information Discrepancy in Strategic Learning.
ICML
Yahav Bechavod, Chara Podimata, Zhiwei Steven Wu, Juba Ziani
2022 J jnl
Interview with Juba Ziani.
SIGecom Exch.
Yahav Bechavod
2021 A conf
Gaming Helps! Learning from Strategic Interactions in Natural Dynamics.
AISTATS
Yahav Bechavod, Katrina Ligett, Zhiwei Steven Wu, Juba Ziani
2021 J jnl
Information Discrepancy in Strategic Learning.
CoRR
Yahav Bechavod, Chara Podimata, Zhiwei Steven Wu, Juba Ziani
2020 J jnl
Causal Feature Discovery through Strategic Modification.
CoRR
Yahav Bechavod, Katrina Ligett, Zhiwei Steven Wu, Juba Ziani
2020 A* conf
Metric-Free Individual Fairness in Online Learning.
NeurIPS
Yahav Bechavod, Christopher Jung, Zhiwei Steven Wu
2020 J jnl
Metric-Free Individual Fairness in Online Learning.
CoRR
Yahav Bechavod, Christopher Jung, Zhiwei Steven Wu
2019 A* conf
Equal Opportunity in Online Classification with Partial Feedback.
NeurIPS
Yahav Bechavod, Katrina Ligett, Aaron Roth, Bo Waggoner, Zhiwei Steven Wu
2019 J jnl
Equal Opportunity in Online Classification with Partial Feedback.
CoRR
Yahav Bechavod, Katrina Ligett, Aaron Roth, Bo Waggoner, Zhiwei Steven Wu
2017 J jnl
Learning Fair Classifiers: A Regularization-Inspired Approach.
CoRR
Yahav Bechavod, Katrina Ligett