Bayesian Object Oriented Regression Professors in Global

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Debdeep Pati

University of Wisconsin–Madison United States of America
bayesian graphical models
bayesian methods
machine learning
approximate bayesian methods
efficient bayesian computation
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Professor
Sharmistha Guha Professor Profile

Sharmistha Guha

Texas A&M University United States of America
bayesian object-oriented regression
bayesian high dimensional regression
bayesian causal inference
bayesian nonparametric mixture models
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Yanan Fan Professor Profile

Yanan Fan

University of New South Wales Australia
bayesian computation
bayesian inference
approximate bayesian computation
bayesian nonparametrics
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Mayank Chadha Professor Profile

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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Yee Teh Professor Profile

Yee Teh

University of Oxford United Kingdom
bayesian statistics
bayesian nonparametrics
machine learning
large scale machine learning
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Hina Shaheen Professor Profile

Hina Shaheen

University of Manitoba Canada
bayesian inference
machine learning
statistical machine learning
computational modelling
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Edson Utazi Professor Profile

Edson Utazi

University of Southampton United Kingdom
bayesian computation
bayesian inference
machine learning
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Trevor Campbell Professor Profile

Trevor Campbell

University of British Columbia Canada
bayesian inference
bayesian theory
bayesian nonparametrics
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Professor
Alexander Hartemink Professor Profile

Alexander Hartemink

Duke University Singapore
bayesian statistics
bayesian networks
machine learning
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Paul Arora Professor Profile

Paul Arora

University of Toronto Canada
bayesian statistics
bayesian networks
machine learning
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Geoff Pleiss Professor Profile

Geoff Pleiss

University of British Columbia Canada
bayesian optimization
machine learning
probabilistic machine learning
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Professor
Jaroslav Fowkes Professor Profile

Jaroslav Fowkes

University of Oxford United Kingdom
bayesian optimization
machine learning
statistical pattern mining
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Robin Ryder Professor Profile

Robin Ryder

Imperial College London United Kingdom
bayesian computational statistics
approximate bayesian computation
stochastic modelling
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Professor

Bei Jiang

University of Alberta Canada
bayesian hierarchical modeling
bayesian support vector machine
kernel machine regression
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Professor

Michele Guindani

University of California, Irvine United States of America
bayesian modeling
machine learning
nonparametric bayesian models
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Professor
Andre Amaral Professor Profile

Andre Amaral

University of Southampton United Kingdom
bayesian modelling
machine learning
spatio-temporal statistical modelling
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Umberto Picchini Professor Profile

Umberto Picchini

University of Gothenburg Sweden
bayesian computational methods
approximate bayesian computation
stochastic modelling
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Professor
François Caron Professor Profile

François Caron

University of Oxford United Kingdom
bayesian statistics
bayesian nonparametrics
statistical machine learning
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Professor

Umberto Picchini

Chalmers University of Technology Sweden
bayesian computational methods
approximate bayesian computation
stochastic modelling
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Professor
Zoltán Szabó Professor Profile

Zoltán Szabó

London School of Economics and Political Science United Kingdom
bayesian inference
statistical machine learning
shape-constrained prediction
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Professor
Navish Kumar Professor Profile

Navish Kumar

University of Basel Switzerland
bayesian inference
machine learning
riemannian optimization
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