Efficient Bayesian Computation Professors in Global

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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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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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Sophia Wilson
University of Copenhagen Denmark
data efficient machine learning
resource efficient machine learning
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James Beck
California Institute of Technology United States of America
computational bayesian statistics
bayesian updating
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Slobodan Mitrovic
University of California, Davis United States of America
efficient algorithms
memory-constrained computation
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Lars Karlsson
Umeå University Sweden
efficient algorithms
high-performance computing
tensor computations
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Sebastian Denzler
Friedrich-Alexander-Universität Erlangen-Nürnberg Germany
robust bayesian optimization
distributionally robust optimization
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Valen Johnson
Texas A&M University United States of America
bayesian variable selection
bayesian hypothesis testing
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Dennis Fok
Erasmus University Rotterdam Netherlands
efficient estimation techniques
bayesian statistics
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Moses Charikar
Stanford University United States of America
efficient algorithms for computational problems in high-dimensional statistics
efficient algorithmic techniques for processing high-dimensional data sets
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Moses Chan
Northwestern University United States of America
bayesian emulation
computational methods
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Quan Zhou
Texas A&M University United States of America
bayesian methodology
stochastic optimization
iterative algorithms
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Bruce Craig
Purdue University United States of America
bayesian methodology
computational methods
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Dabao Zhang
Purdue University United States of America
bayesian
computational methods
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Christina Kendziorski
University of Wisconsin–Madison United States of America
bayes methods
empirical bayes methods
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Jun Zhang
University of Michigan United States of America
bayesian decision theory
computational modeling
computational vision
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Johan Kwisthout
Radboud University Netherlands
bayesian networks
approximate bayesian inference
stochastic computing
computational complexity
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Niklas Simm
Linköping University Sweden
efficient logistics
efficient logistics systems
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Yee Teh
University of Oxford United Kingdom
bayesian statistics
bayesian nonparametrics
large scale machine learning
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Reza Mohammadi
University of Amsterdam Netherlands
bayesian statistics
computational methods
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Don Van Ravenzwaaij
University of Groningen Netherlands
bayesian statistics
computational methods
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