Yahav Bechavod

According to our database, Yahav Bechavod authored at least 8 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Monotone Individual Fairness.

Yahav Bechavod

CoRR, 2024

2023

Individually Fair Learning with One-Sided Feedback.

Yahav Bechavod, Aaron Roth

Proceedings of the International Conference on Machine Learning, 2023

2022

Information Discrepancy in Strategic Learning.

Yahav Bechavod, Chara Podimata, Zhiwei Steven Wu, Juba Ziani

Proceedings of the International Conference on Machine Learning, 2022

2021

Gaming Helps! Learning from Strategic Interactions in Natural Dynamics.

Yahav Bechavod, Katrina Ligett, Zhiwei Steven Wu, Juba Ziani

Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

2020

Causal Feature Discovery through Strategic Modification.

Yahav Bechavod, Katrina Ligett, Zhiwei Steven Wu, Juba Ziani

CoRR, 2020

Metric-Free Individual Fairness in Online Learning.

Yahav Bechavod, Christopher Jung, Zhiwei Steven Wu

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

2019

Equal Opportunity in Online Classification with Partial Feedback.

Yahav Bechavod, Katrina Ligett, Aaron Roth, Bo Waggoner, Zhiwei Steven Wu

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

2017

Learning Fair Classifiers: A Regularization-Inspired Approach.

Yahav Bechavod, Katrina Ligett

CoRR, 2017