Bayesian Latent Variable Models Professors in Global

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Yuqi Gu
Columbia University United States of America
latent variable models
bayesian statistics
statistical machine learning
deep generative models
probabilistic graphical models
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Debdeep Pati
University of Wisconsin–Madison United States of America
bayesian graphical models
bayesian methods
approximate bayesian methods
machine learning
efficient bayesian computation
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Yee Teh
University of Oxford United Kingdom
bayesian statistics
bayesian nonparametrics
machine learning
probabilistic learning
large scale machine learning
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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
bayesian nonparametric mixture models
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Yanan Fan
University of New South Wales Australia
bayesian computation
bayesian inference
bayesian nonparametrics
approximate bayesian computation
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Edson Utazi
University of Southampton United Kingdom
bayesian computation
bayesian inference
spatiotemporal modeling
machine learning
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Bryon Aragam
University of Chicago Booth School of Business United States of America
latent variable models
probabilistic modeling
statistical machine learning
deep generative models
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Hina Shaheen
University of Manitoba Canada
bayesian inference
statistical machine learning
computational modelling
machine learning
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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
bayesian adaptive clinical trial design
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Valen Johnson
Texas A&M University United States of America
latent variable models
bayesian variable selection
bayesian hypothesis testing
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Robin Evans
University of Oxford United Kingdom
latent variable models
bayesian network models
multivariate statistical models
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Jonathan Pillow
Princeton University United States of America
latent variable models
bayesian optimization
statistical machine learning
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Trevor Campbell
University of British Columbia Canada
bayesian inference
bayesian theory
bayesian nonparametrics
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Rachel Nethery
Harvard T.H. Chan School of Public Health United States of America
latent variable models
bayesian methods
machine learning
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Takoua Jendoubi
University College London United Kingdom
bayesian statistics
bayesian nonparametrics
probabilistic models
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Xenia Miscouridou
Imperial College London United Kingdom
bayesian statistical machine learning
bayesian nonparametrics
deep generative models
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Paul Arora
University of Toronto Canada
bayesian networks
bayesian statistics
machine learning
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Alexander Hartemink
Duke University Singapore
bayesian networks
bayesian statistics
machine learning
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Michele Guindani
University of California, Irvine United States of America
bayesian modeling
nonparametric bayesian models
machine learning
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François Caron
University of Oxford United Kingdom
bayesian statistics
bayesian nonparametrics
statistical machine learning
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Vanessa Mcnealis
University of Glasgow United Kingdom
bayesian inference
latent space models
spatio-temporal modelling
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