Algorithmic Fairness And Discrimination Professors in Global

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Avrim Blum
Toyota Technological Institute Chicago United States of America
algorithmic fairness
algorithmic game theory
machine learning
online algorithms
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Marc Renault
University of Wisconsin United States of America
search algorithms
analysis of algorithms
approximation algorithms
online algorithms
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Aaron Roth
University of Pennsylvania United States of America
algorithmic fairness
fairness in machine learning
ethical algorithms
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Jon Kleinberg
Cornell University Netherlands
algorithmic fairness
algorithms
machine learning
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Nisarg Shah
University of Toronto Canada
algorithmic fairness
machine learning
fair division
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Dan Kowal
Cornell Bowers University United States of America
algorithmic fairness
machine learning
discrimination
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Sandra Wachter
University of Oxford United Kingdom
algorithmic bias
diversity and fairness
machine learning
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Aaron Roth
University of Pennsylvania United States of America
fairness in machine learning
algorithms
machine learning
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Aaron Roth
University of Pennsylvania United States of America
fairness in machine learning
algorithms
machine learning
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Gjergji Kasneci
Technical University of Munich Germany
fairness in machine learning
algorithm transparency
machine learning
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Shivika Narang
University of New South Wales Australia
fairness in computation
algorithmic game theory
approximation algorithms
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Ilias Diakonikolas
University of Wisconsin–Madison United States of America
algorithmic game theory
algorithms
machine learning
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Emmanouil-vasileios Vlatakis-gkaragkounis
University of Wisconsin–Madison United States of America
algorithmic game theory
algorithms
machine learning
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Maria Balcan
Carnegie Mellon University United States of America
algorithmic game theory
algorithms
machine learning
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Kevin Leyton-brown
University of British Columbia Canada
algorithmic game theory
algorithms
machine learning
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Sahil Singla
Georgia Institute of Technology United States of America
algorithmic game theory
algorithms
online algorithms
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Michael Kearns
University of Pennsylvania United States of America
algorithmic game theory
algorithmic trading
machine learning
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Michael Kearns
University of Pennsylvania United States of America
algorithmic game theory
algorithmic trading
machine learning
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Michael Kearns
University of Pennsylvania United States of America
algorithmic game theory
algorithmic trading
machine learning
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Mohammad Salavatipour
University of Alberta Canada
algorithmics
algorithmic graph theory
approximation algorithms
probabilistic randomized algorithms
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Sepehr Assadi
University of Waterloo Canada
algorithmic game theory
algorithmic graph theory
online algorithms
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