Bayesian Stability Selection Professors in Global

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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
machine learning
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Alexander Hartemink
Duke University Singapore
bayesian statistics
bayesian networks
machine learning
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Paul Arora
University of Toronto Canada
bayesian statistics
bayesian networks
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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François Caron
University of Oxford United Kingdom
bayesian statistics
bayesian nonparametrics
statistical machine learning
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Theo Damoulas
University of Warwick United Kingdom
bayesian statistics
bayesian nonparametrics
probabilistic machine learning
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Yee Teh
University of Oxford United Kingdom
bayesian statistics
bayesian nonparametrics
machine learning
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Umberto Picchini
Chalmers University of Technology Sweden
bayesian computational methods
approximate bayesian computation
stochastic modelling
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Umberto Picchini
University of Gothenburg Sweden
bayesian computational methods
approximate bayesian computation
stochastic modelling
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Gareth Roberts
University of Warwick United Kingdom
bayesian statistics
stability theory
stochastic simulation
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Gareth Roberts
University of Warwick United Kingdom
bayesian statistics
stability theory
stochastic simulation
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Geoff Pleiss
University of British Columbia Canada
bayesian optimization
probabilistic machine learning
machine learning
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Benoit Liquet-weiland
Macquarie University Australia
bayesian modelling
variable selection
machine learning
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Jaroslav Fowkes
University of Oxford United Kingdom
bayesian optimization
statistical pattern mining
machine learning
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Hina Shaheen
University of Manitoba Canada
bayesian inference
statistical machine learning
machine learning
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Zoltán Szabó
London School of Economics and Political Science United Kingdom
bayesian inference
statistical machine learning
shape-constrained prediction
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Zoubin Ghahramani
University of Cambridge United Kingdom
bayesian statistics
probabilistic modelling
machine learning
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Sahani Pathiraja
University of New South Wales Australia
bayesian inference
machine learning
stochastic analysis
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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
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Fred Afagh
Carleton University Canada
stability analysis
stability theory
elastic stability
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