Yahav Bechavod

16 papers A* 5A 1Journal 10

Year	Rank	Type	Title / 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