Statistical Computational Learning Theory Professors in Global

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Allan Sly
Princeton University United States of America
theoretical statistics
statistical physics
theoretical computer science
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Nazim Khan
University of Western Australia Australia
computational statistics
statistical computing
computational methods
stochastic modelling
statistical clustering
statistical model selection
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Philippe Gagnon
University of Montreal Canada
statistical algorithms
robust statistical learning
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Roland Dunbrack
Fox Chase Cancer Center United States of America
computational structural biology
statistical analysis
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Molei Tao
Georgia Institute of Technology United States of America
deep learning theory
probabilistic machine learning
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Robin Ryder
Imperial College London United Kingdom
bayesian computational statistics
stochastic modelling
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David Poole
University of British Columbia Canada
computational logic
relational learning
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Stanislav Volgushev
University of Toronto Canada
statistical computational challenges
theoretical statistics
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Giovanni Sileno
University of Amsterdam Netherlands
computational legal theory
computational policy design
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Huan Lei
Michigan State University United States of America
scientific machine-learning
stochastic simulations
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Bianca Dumitrascu
Columbia University United States of America
statistical optimization
statistical physics
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Angus Mcmurtry
University of Ottawa Canada
learning theories
socio-material learning theory
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Hayden Schaeffer
University of California Los Angeles United States of America
computational applied mathematics
scientific machine learning
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Johan Kwisthout
Radboud University Netherlands
stochastic computing
computational complexity
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Shenglong Xu
Texas A&M University United States of America
computational quantum physics
statistical physics
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Sorin Istrail
Brown University United States of America
statistical physics
computational molecular biology
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Bonnie Berger
Massachusetts Institute of Technology United States of America
computational biological modeling
theoretical computer science
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Pascal Poupart
University of Waterloo Canada
self-supervised learning
causal learning
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Martin Kröger
ETH Zurich Switzerland
statistical physics
computational physics
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Juan Carrasquilla Alvarez
ETH Zurich Switzerland
statistical physics
computational physics
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Claude Dion
Umeå University Sweden
statistical physics
computational physics
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