Algorithmic Inequalities Professors in Global

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David Williamson
Cornell University Netherlands
algorithmic fairness and discrimination
approximation algorithms
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Aditya Potukuchi
York University Canada
algorithms
algorithmic counting
algorithmic sampling
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Aleksandra Korolova
Princeton University United States of America
algorithmic discrimination
fairness in ai
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Karen Hughes
University of Alberta Canada
inequality
algorithmic labor markets
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Anupam Gupta
New York University United States of America
algorithms
algorithms in uncertain environments
approximation algorithms
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Marc Renault
University of Wisconsin United States of America
analysis of algorithms
search algorithms
approximation algorithms
online algorithms
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Jonathan Weare
New York University United States of America
stochastic algorithms
statistical machine learning
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Peter Gallant
Queen's University Canada
artificial neural networks
evolutionary algorithms
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Cara Macnish
University of Western Australia Australia
artificial neural networks
machine learning
evolutionary algorithms
artificial intelligence
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Anthony Rafferty
University of Manchester United Kingdom
inequalities in productivity
labor market inequalities
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Mohammad Salavatipour
University of Alberta Canada
algorithmics
algorithmic graph theory
approximation algorithms
probabilistic randomized algorithms
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Robert Stahlbock
University of Hamburg Germany
artificial neural networks
bioanalogical algorithms
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Gara Pruesse
Vancouver Island University Canada
optimization algorithms
approximation algorithms
discrete algorithms
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George Papavassilopoulos
University of Southern California United States of America
optimization algorithms
parallel algorithms
genetic algorithms
bilinear matrix inequalities
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Kiefer
Technical University of Berlin Germany
algorithmic game theory
approximation algorithms
mathematical optimization
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Tahereh Koohi
University of New South Wales Australia
machine learning
evolutionary algorithms
artificial intelligence
neural networks
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Peter Bentley
University College London United Kingdom
evolutionary algorithms
neural networks
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Tarek Hegazi
University of Waterloo Canada
genetic algorithms
evolutionary algorithms
neural networks
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Thomas Lemieux
University of British Columbia Canada
wage inequality
earnings inequality
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Mohamed Abdelfattah
Cornell University Netherlands
machine learning
neural networks
automated machine learning
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Erzsébet Bukodi
University of Oxford United Kingdom
labor market inequalities
educational inequalities
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