Efficient Bayesian Computation Professors in Global

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Debdeep Pati
University of Wisconsin–Madison United States of America
efficient bayesian computation
bayesian methods
approximate bayesian methods
bayesian graphical models
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Yanan Fan
University of New South Wales Australia
bayesian computation
approximate bayesian computation
bayesian inference
bayesian nonparametrics
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Johan Kwisthout
Radboud University Netherlands
bayesian networks
approximate bayesian inference
stochastic computing
computational complexity
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Jiaqi Gu
Arizona State University China
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efficient algorithm
energy-efficient computing
efficient ai hardware design
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Peter Mueller
University of Texas at Austin United States of America
bayesian bioinformatics
computational methods in bayesian inference
nonparametric bayesian inference
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Lars Karlsson
Umeå University Sweden
efficient algorithms
high-performance computing
tensor computations
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Trevor Campbell
University of British Columbia Canada
bayesian theory
bayesian inference
bayesian nonparametrics
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Quan Zhou
Texas A&M University United States of America
bayesian methodology
stochastic optimization
iterative algorithms
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Panos Parpas
Imperial College London United Kingdom
computational optimization
mathematical optimization
computational mathematics
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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
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R Bahar
Brown University United States of America
energy-efficient computing
robust machine learning
reliable computing
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Jun Zhang
University of Michigan United States of America
bayesian decision theory
computational modeling
computational vision
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Cassio De Campos
Eindhoven University of Technology Belgium
reliable machine learning
robust artificial intelligence
computational complexity
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Hossein Hashemi Doulabi
Concordia University Canada
robust optimization
stochastic optimization
large-scale optimization
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Yee Teh
University of Oxford United Kingdom
bayesian statistics
bayesian nonparametrics
large scale machine learning
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Shixuan Zhang
Texas A&M University United States of America
robust optimization
stochastic optimization
polynomial optimization
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Anirudh Subramanyam
Pennsylvania State University United States of America
robust optimization
stochastic optimization
high-performance computing
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Robert Womersley
University of New South Wales Australia
high-performance computing
computational mathematics
computational methods
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Umberto Picchini
Chalmers University of Technology Sweden
bayesian computational methods
approximate bayesian computation
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Umberto Picchini
University of Gothenburg Sweden
bayesian computational methods
approximate bayesian computation
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Sujit Sahu
University of Southampton United Kingdom
bayesian computation
applied bayesian modelling
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