<?xml version="1.0"?>
<dblpperson name="Yahav Bechavod" pid="203/9048" n="17">
<person key="homepages/203/9048" mdate="2020-08-11">
<author pid="203/9048">Yahav Bechavod</author>
<url>https://www.cs.huji.ac.il/~yahav_be/</url>
<url>https://scholar.google.com/citations?user=bsnma4wAAAAJ</url>
<note type="affiliation">Hebrew University of Jerusalem, Israel</note>
</person>
<r><inproceedings key="conf/colt/BechavodLR26" mdate="2026-07-18">
<author pid="203/9048">Yahav Bechavod</author>
<author pid="400/5027">Jiuyao Lu</author>
<author pid="80/3311">Aaron Roth 0001</author>
<title>Omniprediction with Long-Term Constraints.</title>
<pages>640-683</pages>
<year>2026</year>
<booktitle>COLT</booktitle>
<ee>https://proceedings.mlr.press/v336/bechavod26a.html</ee>
<crossref>conf/colt/2026</crossref>
<url>db/conf/colt/colt2026.html#BechavodLR26</url>
</inproceedings>
</r>
<r><article publtype="informal" key="journals/corr/abs-2509-11357" mdate="2025-10-13">
<author pid="203/9048">Yahav Bechavod</author>
<author pid="400/5027">Jiuyao Lu</author>
<author pid="80/3311">Aaron Roth 0001</author>
<title>Online Omniprediction with Long-Term Constraints.</title>
<year>2025</year>
<month>September</month>
<volume>abs/2509.11357</volume>
<journal>CoRR</journal>
<ee type="oa">https://doi.org/10.48550/arXiv.2509.11357</ee>
<url>db/journals/corr/corr2509.html#abs-2509-11357</url>
<stream>streams/journals/corr</stream>
</article>
</r>
<r><article publtype="informal" key="journals/corr/abs-2510-07266" mdate="2025-11-11">
<author pid="203/9048">Yahav Bechavod</author>
<author pid="400/5027">Jiuyao Lu</author>
<author pid="80/3311">Aaron Roth 0001</author>
<title>Dynamic Regret Bounds for Online Omniprediction with Long Term Constraints.</title>
<year>2025</year>
<month>October</month>
<volume>abs/2510.07266</volume>
<journal>CoRR</journal>
<ee type="oa">https://doi.org/10.48550/arXiv.2510.07266</ee>
<url>db/journals/corr/corr2510.html#abs-2510-07266</url>
<stream>streams/journals/corr</stream>
</article>
</r>
<r><inproceedings key="conf/icml/Bechavod24" mdate="2026-02-09">
<author pid="203/9048">Yahav Bechavod</author>
<title>Monotone Individual Fairness.</title>
<year>2024</year>
<booktitle>ICML</booktitle>
<ee type="oa">https://proceedings.mlr.press/v235/bechavod24a.html</ee>
<ee type="oa">https://openreview.net/forum?id=6EF0bxcZvT</ee>
<crossref>conf/icml/2024</crossref>
<url>db/conf/icml/icml2024.html#Bechavod24</url>
<pages>3266-3283</pages>
</inproceedings>
</r>
<r><article publtype="informal" key="journals/corr/abs-2403-06812" mdate="2024-04-04">
<author pid="203/9048">Yahav Bechavod</author>
<title>Monotone Individual Fairness.</title>
<year>2024</year>
<volume>abs/2403.06812</volume>
<journal>CoRR</journal>
<ee type="oa">https://doi.org/10.48550/arXiv.2403.06812</ee>
<url>db/journals/corr/corr2403.html#abs-2403-06812</url>
</article>
</r>
<r><inproceedings key="conf/icml/Bechavod023" mdate="2023-08-28">
<author pid="203/9048">Yahav Bechavod</author>
<author pid="80/3311">Aaron Roth 0001</author>
<title>Individually Fair Learning with One-Sided Feedback.</title>
<pages>1954-1977</pages>
<year>2023</year>
<booktitle>ICML</booktitle>
<ee type="oa">https://proceedings.mlr.press/v202/bechavod23a.html</ee>
<crossref>conf/icml/2023</crossref>
<url>db/conf/icml/icml2023.html#Bechavod023</url>
</inproceedings>
</r>
<r><article key="journals/sigecom/Bechavod22" mdate="2024-12-04">
<author pid="203/9048">Yahav Bechavod</author>
<title>Interview with Juba Ziani.</title>
<pages>85-90</pages>
<year>2022</year>
<volume>20</volume>
<journal>SIGecom Exch.</journal>
<number>2</number>
<ee>https://doi.org/10.1145/3699804.3699813</ee>
<url>db/journals/sigecom/sigecom20.html#Bechavod22</url>
<stream>streams/journals/sigecom</stream>
</article>
</r>
<r><inproceedings key="conf/icml/BechavodPWZ22" mdate="2022-07-12">
<author pid="203/9048">Yahav Bechavod</author>
<author pid="209/9752">Chara Podimata</author>
<author pid="137/8350">Zhiwei Steven Wu</author>
<author pid="157/3784">Juba Ziani</author>
<title>Information Discrepancy in Strategic Learning.</title>
<pages>1691-1715</pages>
<year>2022</year>
<booktitle>ICML</booktitle>
<ee type="oa">https://proceedings.mlr.press/v162/bechavod22a.html</ee>
<crossref>conf/icml/2022</crossref>
<url>db/conf/icml/icml2022.html#BechavodPWZ22</url>
</inproceedings>
</r>
<r><article publtype="informal" key="journals/corr/abs-2206-04475" mdate="2023-09-30">
<author pid="203/9048">Yahav Bechavod</author>
<author orcid="0000-0002-0586-0515" pid="80/3311">Aaron Roth 0001</author>
<title>Individually Fair Learning with One-Sided Feedback.</title>
<year>2022</year>
<volume>abs/2206.04475</volume>
<journal>CoRR</journal>
<ee type="oa">https://doi.org/10.48550/arXiv.2206.04475</ee>
<url>db/journals/corr/corr2206.html#abs-2206-04475</url>
</article>
</r>
<r><inproceedings key="conf/aistats/BechavodLWZ21" mdate="2022-06-23">
<author pid="203/9048">Yahav Bechavod</author>
<author pid="76/3876">Katrina Ligett</author>
<author orcid="0000-0002-8125-8227" pid="137/8350">Zhiwei Steven Wu</author>
<author pid="157/3784">Juba Ziani</author>
<title>Gaming Helps! Learning from Strategic Interactions in Natural Dynamics.</title>
<pages>1234-1242</pages>
<year>2021</year>
<booktitle>AISTATS</booktitle>
<ee type="oa">http://proceedings.mlr.press/v130/bechavod21a.html</ee>
<crossref>conf/aistats/2021</crossref>
<url>db/conf/aistats/aistats2021.html#BechavodLWZ21</url>
</inproceedings>
</r>
<r><article publtype="informal" key="journals/corr/abs-2103-01028" mdate="2021-03-04">
<author pid="203/9048">Yahav Bechavod</author>
<author pid="209/9752">Chara Podimata</author>
<author pid="137/8350">Zhiwei Steven Wu</author>
<author pid="157/3784">Juba Ziani</author>
<title>Information Discrepancy in Strategic Learning.</title>
<year>2021</year>
<volume>abs/2103.01028</volume>
<journal>CoRR</journal>
<ee type="oa">https://arxiv.org/abs/2103.01028</ee>
<url>db/journals/corr/corr2103.html#abs-2103-01028</url>
</article>
</r>
<r><inproceedings key="conf/nips/BechavodJW20" mdate="2022-06-23">
<author pid="203/9048">Yahav Bechavod</author>
<author pid="08/8676-1">Christopher Jung 0001</author>
<author orcid="0000-0002-8125-8227" pid="137/8350">Zhiwei Steven Wu</author>
<title>Metric-Free Individual Fairness in Online Learning.</title>
<year>2020</year>
<booktitle>NeurIPS</booktitle>
<ee type="oa">https://proceedings.neurips.cc/paper/2020/hash/80b618ebcac7aa97a6dac2ba65cb7e36-Abstract.html</ee>
<crossref>conf/nips/2020</crossref>
<url>db/conf/nips/neurips2020.html#BechavodJW20</url>
</inproceedings>
</r>
<r><article publtype="informal" key="journals/corr/abs-2002-05474" mdate="2021-02-03">
<author pid="203/9048">Yahav Bechavod</author>
<author pid="08/8676-1">Christopher Jung 0001</author>
<author pid="137/8350">Zhiwei Steven Wu</author>
<title>Metric-Free Individual Fairness in Online Learning.</title>
<year>2020</year>
<volume>abs/2002.05474</volume>
<journal>CoRR</journal>
<ee type="oa">https://arxiv.org/abs/2002.05474</ee>
<url>db/journals/corr/corr2002.html#abs-2002-05474</url>
</article>
</r>
<r><article publtype="informal" key="journals/corr/abs-2002-07024" mdate="2020-03-02">
<author pid="203/9048">Yahav Bechavod</author>
<author pid="76/3876">Katrina Ligett</author>
<author pid="137/8350">Zhiwei Steven Wu</author>
<author pid="157/3784">Juba Ziani</author>
<title>Causal Feature Discovery through Strategic Modification.</title>
<year>2020</year>
<volume>abs/2002.07024</volume>
<journal>CoRR</journal>
<ee type="oa">https://arxiv.org/abs/2002.07024</ee>
<url>db/journals/corr/corr2002.html#abs-2002-07024</url>
</article>
</r>
<r><inproceedings key="conf/nips/BechavodL0WW19" mdate="2021-05-12">
<author pid="203/9048">Yahav Bechavod</author>
<author pid="76/3876">Katrina Ligett</author>
<author pid="80/3311">Aaron Roth 0001</author>
<author pid="117/4968">Bo Waggoner</author>
<author pid="137/8350">Zhiwei Steven Wu</author>
<title>Equal Opportunity in Online Classification with Partial Feedback.</title>
<pages>8972-8982</pages>
<year>2019</year>
<booktitle>NeurIPS</booktitle>
<ee type="oa">https://proceedings.neurips.cc/paper/2019/hash/084afd913ab1e6ea58b8ca73f6cb41a6-Abstract.html</ee>
<ee type="oa">http://papers.nips.cc/paper/9099-equal-opportunity-in-online-classification-with-partial-feedback</ee>
<crossref>conf/nips/2019</crossref>
<url>db/conf/nips/nips2019.html#BechavodL0WW19</url>
</inproceedings>
</r>
<r><article publtype="informal" key="journals/corr/abs-1902-02242" mdate="2019-10-08">
<author pid="203/9048">Yahav Bechavod</author>
<author pid="76/3876">Katrina Ligett</author>
<author pid="80/3311">Aaron Roth 0001</author>
<author pid="117/4968">Bo Waggoner</author>
<author pid="137/8350">Zhiwei Steven Wu</author>
<title>Equal Opportunity in Online Classification with Partial Feedback.</title>
<year>2019</year>
<volume>abs/1902.02242</volume>
<journal>CoRR</journal>
<ee type="oa">http://arxiv.org/abs/1902.02242</ee>
<url>db/journals/corr/corr1902.html#abs-1902-02242</url>
</article>
</r>
<r><article publtype="informal" key="journals/corr/BechavodL17" mdate="2018-08-13">
<author pid="203/9048">Yahav Bechavod</author>
<author pid="76/3876">Katrina Ligett</author>
<title>Learning Fair Classifiers: A Regularization-Inspired Approach.</title>
<year>2017</year>
<volume>abs/1707.00044</volume>
<journal>CoRR</journal>
<ee type="oa">http://arxiv.org/abs/1707.00044</ee>
<url>db/journals/corr/corr1707.html#BechavodL17</url>
</article>
</r>
<coauthors n="8" nc="1">
<co c="0"><na f="j/Jung_0001:Christopher" pid="08/8676-1">Christopher Jung 0001</na></co>
<co c="0"><na f="l/Ligett:Katrina" pid="76/3876">Katrina Ligett</na></co>
<co c="0"><na f="l/Lu:Jiuyao" pid="400/5027">Jiuyao Lu</na></co>
<co c="0"><na f="p/Podimata:Chara" pid="209/9752">Chara Podimata</na></co>
<co c="0"><na f="r/Roth_0001:Aaron" pid="80/3311">Aaron Roth 0001</na></co>
<co c="0"><na f="w/Waggoner:Bo" pid="117/4968">Bo Waggoner</na></co>
<co c="0" n="2"><na f="w/Wu:Steven_Z=" pid="137/8350">Steven Z. Wu</na><na>Zhiwei Steven Wu</na></co>
<co c="0"><na f="z/Ziani:Juba" pid="157/3784">Juba Ziani</na></co>
</coauthors>
</dblpperson>

