Bayesian Statistical Machine Learning Professors in Global

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Debdeep Pati
University of Wisconsin–Madison United States of America
bayesian graphical models
bayesian methods
machine learning
efficient bayesian computation
approximate bayesian methods
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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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Hina Shaheen
University of Manitoba Canada
bayesian inference
statistical machine learning
machine learning
computational modelling
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Yee Teh
University of Oxford United Kingdom
bayesian statistics
machine learning
bayesian nonparametrics
large scale machine learning
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Xenia Miscouridou
Imperial College London United Kingdom
bayesian statistical machine learning
bayesian nonparametrics
statistical network modeling
stochastic process modeling
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Umberto Picchini
University of Gothenburg Sweden
bayesian computational methods
approximate bayesian computation
stochastic modelling
statistical inference
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Umberto Picchini
Chalmers University of Technology Sweden
bayesian computational methods
approximate bayesian computation
stochastic modelling
statistical inference
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Michael Zhu
Purdue University United States of America
bayesian computational methods
machine learning
statistical inference
data mining
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Dabao Zhang
Purdue University United States of America
bayesian
machine learning
statistical inference
data mining
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Eric Xing
Carnegie Mellon University United States of America
machine learning
statistical learning
probabilistic modeling
data mining
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Gerasimos Spanakis
Maastricht University Netherlands
machine learning
computational modeling
data mining
neural networks
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Paul Arora
University of Toronto Canada
bayesian statistics
bayesian networks
machine learning
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Edson Utazi
University of Southampton United Kingdom
bayesian computation
bayesian inference
machine learning
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Alexander Hartemink
Duke University Singapore
bayesian statistics
bayesian networks
machine learning
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François Caron
University of Oxford United Kingdom
bayesian statistics
statistical machine learning
bayesian nonparametrics
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Trevor Campbell
University of British Columbia Canada
bayesian inference
bayesian theory
bayesian nonparametrics
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Mayank Chadha
University of California, San Diego United States of America
bayesian optimization
bayesian decision theory
machine learning
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Geoff Pleiss
University of British Columbia Canada
bayesian optimization
machine learning
probabilistic machine learning
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Robin Ryder
Imperial College London United Kingdom
bayesian computational statistics
approximate bayesian computation
stochastic modelling
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Jaroslav Fowkes
University of Oxford United Kingdom
bayesian optimization
machine learning
statistical pattern mining
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