Gaussian Process Regression Professors in Global

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Hina Shaheen
University of Manitoba Canada
probability stochastic processes
bayesian inference
machine learning
statistical machine learning
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Michael Osborne
University of Oxford United Kingdom
gaussian processes
machine learning
bayesian optimisation
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David Matteson
Cornell University Netherlands
stochastic processes
bayesian analysis
machine learning
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Patricia Ning
Texas A&M University United States of America
stochastic processes
bayesian inference
machine learning
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Ronojoy Adhikari
University of Cambridge United Kingdom
stochastic processes
bayesian inference
machine learning
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Melih Kandemir
University of Southern Denmark Denmark
stochastic processes
bayesian inference
machine learning
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Yanan Fan
University of New South Wales Australia
quantile regression
bayesian computation
bayesian inference
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Sudipto Banerjee
University of California Los Angeles United States of America
stochastic processes
bayesian modeling
statistical machine learning
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Zoltán Szabó
London School of Economics and Political Science United Kingdom
distribution regression
bayesian inference
statistical machine learning
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James Booth
Cornell University Netherlands
generalized linear models
bayesian analysis
machine learning
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Arman Sabbaghi
Purdue University United States of America
bayesian data analysis
statistical process quality control
machine learning
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Edson Utazi
University of Southampton United Kingdom
bayesian computation
bayesian inference
machine learning
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Aretha Teckentrup
University of Edinburgh United Kingdom
gaussian process regression
deep gaussian processes
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Houman Owhadi
California Institute of Technology United States of America
gaussian process regression
machine learning
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Luis Avendaño-valencia
University of Southern Denmark Denmark
gaussian process regression
machine learning
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Houman Owhadi
California Institute of Technology United States of America
gaussian process regression
machine learning
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Larbi Alili
University of Warwick United Kingdom
gaussian processes
stochastic processes
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Sara Wade
University of Edinburgh United Kingdom
gaussian processes
machine learning
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Edmond Chow
Georgia Institute of Technology United States of America
gaussian processes
machine learning
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Jacob Gardner
University of Pennsylvania United States of America
gaussian processes
machine learning
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Radford Neal
University of Toronto Canada
gaussian processes
bayesian inference
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