Algorithmic Number Theory Professors in Global

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Horatio Boedihardjo
University of Warwick United Kingdom
number theory
machine learning
stochastic analysis
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Jon Keating
University of Oxford United Kingdom
number theory
random matrix theory
stochastic analysis
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Xiaoqi Tan
University of Alberta Canada
algorithmic economics
online algorithms
learning theory
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Brian Bullins
Purdue University United States of America
algorithms
machine learning
theory of computing
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Stephen Hanneke
Purdue University United States of America
algorithms
machine learning
theory of computing
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Anuran Makur
Purdue University United States of America
algorithms
machine learning
theory of computing
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Jon Kleinberg
Cornell University Netherlands
algorithms
machine learning
algorithmic fairness
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Mark Braverman
Princeton University United States of America
algorithms
algorithmic mechanism design
machine learning
theory of real computation
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Sushant Sachdeva
University of Toronto Canada
algorithms
mathematical machine learning
numerical linear algebra
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Christian Coester
University of Oxford United Kingdom
algorithms
online algorithms
learning-augmented algorithms
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Yun Cheung
Australian National University Australia
algorithms
theory of computation
machine learning
stochastic analysis
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Aaron Roth
University of Pennsylvania United States of America
algorithms
machine learning
learning theory
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Javad Ghaderi
Columbia University United States of America
algorithms
machine learning
stochastic networks
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David Meredith
Aalborg University Denmark
algorithms
machine learning
mathematical music theory
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Avrim Blum
Toyota Technological Institute Chicago United States of America
algorithmic game theory
machine learning
online algorithms
algorithmic fairness
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Ryan O'donnell
Carnegie Mellon University United States of America
algorithms
probability theory
learning theory
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Joel Tropp
California Institute of Technology United States of America
machine learning
random matrix theory
numerical linear algebra
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Martin Andersen
Technical University of Denmark Denmark
machine learning
numerical optimization
numerical methods algorithms
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Anders Karlsson
University of Geneva Switzerland
machine learning
operator theory
stochastic game theory
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Vivak Patel
University of Wisconsin–Madison United States of America
machine learning
numerical optimization
numerical linear algebra
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Inderjit Dhillon
University of Texas at Austin United States of America
machine learning
numerical optimization
numerical linear algebra
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