Bayesian Network Professors in Global

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Debdeep Pati
University of Wisconsin–Madison United States of America
bayesian methods
bayesian graphical models
efficient bayesian computation
approximate bayesian methods
machine learning
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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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Sharmistha Guha
Texas A&M University United States of America
bayesian high dimensional regression
bayesian causal inference
bayesian object-oriented regression
bayesian nonparametric mixture models
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Yee Teh
University of Oxford United Kingdom
bayesian statistics
bayesian nonparametrics
machine learning
probabilistic 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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Hina Shaheen
University of Manitoba Canada
bayesian inference
machine learning
statistical machine learning
computational modelling
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Balaji Prabhakar
Stanford University United States of America
stochastic network theory
data networks
wireless networks
network algorithms
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Carlo Fischione
KTH Royal Institute of Technology Sweden
machine learning
wireless networks
networked artificial intelligence
communication networks
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Trevor Campbell
University of British Columbia Canada
bayesian theory
bayesian inference
bayesian nonparametrics
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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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Edson Utazi
University of Southampton United Kingdom
bayesian computation
bayesian inference
machine learning
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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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François Caron
University of Oxford United Kingdom
bayesian statistics
bayesian nonparametrics
statistical machine learning
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Xenia Miscouridou
Imperial College London United Kingdom
bayesian statistical machine learning
bayesian nonparametrics
statistical network modeling
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Takoua Jendoubi
University College London United Kingdom
bayesian statistics
bayesian nonparametrics
probabilistic models
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Theo Damoulas
University of Warwick United Kingdom
bayesian statistics
bayesian nonparametrics
probabilistic 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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Hong Ge
University of Cambridge United Kingdom
bayesian inference
neural networks
machine learning
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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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