Statistical Learning Algorithms Professors in Global

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Debarati Das
Pennsylvania State University United States of America
string algorithms
clustering algorithms
approximation 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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Stijn De Vuyst
Ghent University Belgium
stochastic optimization
stochastic modeling
statistical techniques
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Ivan Kryven
Utrecht University Netherlands
randomized algorithms
stochastic analysis
random approximation algorithms
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Sigurd Assing
University of Warwick United Kingdom
machine learning
stochastic analysis
statistical mechanics
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Giuseppe Cannizzaro
University of Warwick United Kingdom
stochastic analysis
statistical mechanics
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Gérard Ben Arous
New York University United States of America
stochastic analysis
statistical mechanics
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Gérard Ben Arous
New York University United States of America
stochastic analysis
statistical mechanics
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Rahul Jain
University of Southern California United States of America
online statistical reinforcement learning
stochastic systems
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Craig Anderson
University of Glasgow United Kingdom
statistical methodology
spatial statistics
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Bumba Mukherjee
Pennsylvania State University United States of America
machine learning
statistical methodology
spatial statistics
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Xin Fei
University of Edinburgh United Kingdom
statistical ranking selection
stochastic programming
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Mehrdad Mahdavi
Pennsylvania State University United States of America
statistical learning theory
computational statistical machine learning
large-scale machine learning
computational learning theory
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David Poole
University of British Columbia Canada
statistical relational ai
relational learning
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Brent Doiron
University of Chicago United States of America
statistical mechanics
network learning
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Brent Doiron
University of Chicago United States of America
statistical mechanics
network learning
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Pankaj Agarwal
Duke University Singapore
robotics algorithms
geometric algorithms
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Wei Sun
Concordia University Canada
stochastic analysis
stochastic dynamical systems
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Weijun Xie
Georgia Institute of Technology United States of America
machine learning
stochastic programming
approximation algorithms
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Nicolas Christou
University of California Los Angeles United States of America
spatial regression models
spatial statistics
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Sarthak Yadav
Aalborg University Denmark
self-supervised learning
representation learning
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