Shahin Jabbari und Aaron Roth - Info zur Person

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Paper

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Authors. Shahin Jabbari · Ryan M. Rogers · Aaron Roth · Steven Z. Wu. Conference Event Type: Poster. Abstract. We define and study the problem of predicting ...

Jamie Morgenstern - Google Scholar Citations

scholar.google.co.in

Aaron Roth,; Ariel Procaccia,; Michael Kearns,; Michal Feldman,; Matthew Joseph,; Avrim Blum,; Tim Roughgarden,; Steven J. Brams,; Shahin Jabbari,; Ryan ...

2016 :: FAT ML

www.fatml.org

... Fair Learning in Markovian Environments – Shahin Jabbari, Matthew Joseph, Michael Kearns, Jamie Morgenstern, and Aaron Roth; Inherent Trade-Offs in the ...

2017 Papers :: FAT ML

www.fatml.org

Richard Berk, Hoda Heidari, Shahin Jabbari, Matthew Joseph, Michael Kearns, Jamie Morgenstern, Seth Neel and Aaron Roth. Data Decisions and Theoretical ...

Fair Learning in Markovian Environments :: FAT ML

www.fatml.org

Shahin Jabbari, Matthew Joseph, Michael Kearns, Jamie Morgenstern and Aaron Roth. We introduce the study of fairness in the setting of reinforcement ...

Fairness in Reinforcement Learning - ICML 2020icml.cc › ScheduleMultitrack

icml.cc

Shahin Jabbari · Matthew Joseph · Michael Kearns · Jamie Morgenstern · Aaron Roth. Mon Aug :30 AM :00 AM (PDT) @ Gallery #20. in Posters Mon ».

Fairness in Reinforcement Learning

proceedings.mlr.press

Fairness in Reinforcement LearningShahin Jabbari, Matthew Joseph, Michael Kearns, Jamie Morgenstern, Aaron RothWe initiate the study of f...

Hoda Heidari - fairXiv.orgfairxiv.org › search

fairxiv.org

Richard Berk, Hoda Heidari, Shahin Jabbari, Matthew Joseph, Michael Kearns, Jamie Morgenstern, Seth Neel, Aaron Roth · arXiv: v1 »Full PDF ...

Matthew Joseph

www.majos.net

With Richard Berk, Hoda Heidari, Shahin Jabbari, Michael Kearns, Jamie Morgenstern, Seth Neel, and Aaron Roth. Fairness in Reinforcement Learning. ICML ...

Black Box Justice – The Pennsylvania Gazette

thepenngazette.com

Earlier this year, Berk co-authored a paper with Hoda Heidari, Shahin Jabbari, Micheal Kearns, and Aaron Roth—doctoral students and faculty ...

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