Large Scale Bayesian Computation Professors in Global

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Debdeep Pati
University of Wisconsin–Madison United States of America
bayesian graphical models
efficient bayesian computation
bayesian methods
machine learning
approximate bayesian methods
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Yanan Fan
University of New South Wales Australia
bayesian computation
approximate bayesian computation
bayesian inference
bayesian nonparametrics
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Yee Teh
University of Oxford United Kingdom
large scale machine learning
bayesian statistics
bayesian nonparametrics
machine learning
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Mayank Chadha
University of California, San Diego United States of America
bayesian optimization
bayesian decision theory
machine learning
geometrically exact modeling
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Hina Shaheen
University of Manitoba Canada
bayesian inference
machine learning
computational modelling
statistical machine learning
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Edson Utazi
University of Southampton United Kingdom
bayesian computation
bayesian inference
machine learning
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Umberto Picchini
Chalmers University of Technology Sweden
bayesian computational methods
approximate bayesian computation
stochastic modelling
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Umberto Picchini
University of Gothenburg Sweden
bayesian computational methods
approximate bayesian computation
stochastic modelling
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Robin Ryder
Imperial College London United Kingdom
bayesian computational statistics
approximate bayesian computation
stochastic modelling
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Sharmistha Guha
Texas A&M University United States of America
bayesian high dimensional regression
bayesian object-oriented regression
bayesian causal inference
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Guanyu Hu
Michigan State University United States of America
bayesian computation
bayesian nonparametric
big data inference
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Scott Schmidler
Duke University Singapore
bayesian computation
high-dimensional sampling algorithms
probabilistic machine learning
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Martin Trapp
KTH Royal Institute of Technology Sweden
bayesian deep learning
large language models
probabilistic machine learning
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Trevor Campbell
University of British Columbia Canada
bayesian inference
bayesian theory
bayesian nonparametrics
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Alexander Hartemink
Duke University Singapore
bayesian networks
bayesian statistics
machine learning
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Paul Arora
University of Toronto Canada
bayesian networks
bayesian statistics
machine learning
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Kun Liang
University of Waterloo Canada
large-scale inference
machine learning
high-dimensional statistics
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Yang Chen
University of Michigan United States of America
bayesian modeling
machine learning
computational algorithms
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Kaisey Mandel
University of Cambridge United Kingdom
bayesian modelling
machine learning
statistical computation
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Yarin Gal
University of Oxford United Kingdom
bayesian deep learning
machine learning
deep probabilistic ai
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Qifan Song
Purdue University United States of America
bayesian data science
massive data modeling
machine learning
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