Bayesian Emulation Professors in Global

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Guang Lin
Purdue University United States of America
stochastic multiscale modeling
statistical machine learning
predictive modeling
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Guang Lin
Purdue University United States of America
stochastic multiscale modeling
statistical machine learning
predictive modeling
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Peter Mueller
University of Texas at Austin United States of America
bayesian bioinformatics
nonparametric bayesian inference
computational methods in bayesian inference
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Amr Al Abed
University of New South Wales Australia
biocomputational simulations
computational modelling
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Paolo Ricci
École Polytechnique Fédérale de Lausanne Switzerland
large-scale numerical simulations
numerical simulation
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Mathisca De Gunst
Vrije Universiteit Amsterdam Netherlands
stochastic modeling
mathematical models
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Daniel Roy
University of Toronto Canada
bayesian nonparametric statistics
machine learning
probabilistic programming
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Daniel Roy
University of Toronto Canada
bayesian nonparametric statistics
machine learning
probabilistic programming
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Charbel Farhat
Stanford University United States of America
bayesian optimization
probabilistic machine learning
mathematical models
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Christian Onof
Imperial College London United Kingdom
stochastic modeling
statistical machine learning
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Fatih Erenay
University of Waterloo Canada
stochastic modeling
simulation models
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Hina Shaheen
University of Manitoba Canada
bayesian inference
machine learning
computational modelling
statistical machine learning
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Sergei Dudarev
University of Oxford United Kingdom
stochastic models
mathematical models
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Wiktor Młynarski
Ludwig Maximilian University of Munich Germany
probabilistic machine learning
neural computations
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Abhirup Banerjee
University of Oxford United Kingdom
computational modelling
geometric machine learning
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Yassine Yaakoubi
Concordia University Canada
probabilistic machine learning
stochastic programming
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Molei Tao
Georgia Institute of Technology United States of America
machine learning
probabilistic machine learning
deep learning theory
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Yuxin Chen
University of Pennsylvania United States of America
machine learning theory
statistical machine learning
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Raimondo Penta
University of Glasgow United Kingdom
mathematical models
multiscale approximations
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Xiaohua Huang
University of California, San Diego United States of America
computational modeling
numerical simulations
deep machine learning
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Yee Teh
University of Oxford United Kingdom
bayesian statistics
bayesian nonparametrics
machine learning
large scale machine learning
probabilistic learning
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