Bayesian Regression Professors in Global

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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
probabilistic learning
deep learning
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Professor
Yanan Fan Professor Profile

Yanan Fan

University of New South Wales Australia
bayesian inference
bayesian computation
approximate bayesian computation
bayesian nonparametrics
quantile regression
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Professor

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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Professor
Sharmistha Guha Professor Profile

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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Professor

Umberto Picchini

Chalmers University of Technology Sweden
bayesian computational methods
approximate bayesian computation
stochastic modelling
statistical inference
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Professor
Hina Shaheen Professor Profile

Hina Shaheen

University of Manitoba Canada
bayesian inference
machine learning
statistical machine learning
computational modelling
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Professor
Umberto Picchini Professor Profile

Umberto Picchini

University of Gothenburg Sweden
bayesian computational methods
approximate bayesian computation
stochastic modelling
statistical inference
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Professor

Laurent Charlin

Université de Montréal Canada
bayesian inference
machine learning
statistical models
deep learning
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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
distribution regression
shape-constrained prediction
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Professor

Jaehee Kim

Cornell University Netherlands
bayesian inference
machine learning
statistical inference
mathematical models
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Professor

Dabao Zhang

Purdue University United States of America
bayesian
machine learning
statistical inference
nonparametric regression
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Professor

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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Professor

Adriano Polpo

University of Western Australia Australia
bayesian methods
regression models
predictive data analysis
statistical learning
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Professor

Vinayak Rao

Purdue University United States of America
bayesian computational methods
machine learning
statistical inference
nonparametric regression
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Professor

Paulo Serra

Vrije Universiteit Amsterdam Netherlands
bayesian non-parametrics
empirical bayes
quantile regression
non-parametric regression
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Professor

Irina Rish

University of Montreal Canada
machine learning
probabilistic inference
biologically plausible reinforcement learning
deep learning
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Professor
Gerasimos Spanakis Professor Profile

Gerasimos Spanakis

Maastricht University Netherlands
machine learning
computational modeling
neural networks
deep learning
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Professor

Nicolas Le Roux

University of Montreal Canada
machine learning
statistical modeling
neural networks
deep learning
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Professor
Pascal Vincent Professor Profile

Pascal Vincent

University of Montreal Canada
machine learning
statistical models
neural networks
deep learning
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Professor
A.c.c. Coolen Professor Profile

A.c.c. Coolen

Radboud University Netherlands
machine learning
statistical inference
predictive analysis
neural networks
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Professor

Nethal Jajo

University of Sydney Australia
statistical machine learning
non-parametric regression
semi-parametric regression
stochastic system modelling
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