Randomness Computation Professors in Global

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Rajesh Ranganath
New York University United States of America
probabilistic inference
statistical inference
machine learning
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Olga Vitek
Purdue University United States of America
computational methods
statistical inference
machine learning
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Bowei Xi
Purdue University United States of America
computational methods
statistical inference
machine learning
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Dabao Zhang
Purdue University United States of America
computational methods
statistical inference
machine learning
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Jordan Awan
Purdue University United States of America
computational methods
statistical inference
machine learning
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Scott Schmidler
Duke University Singapore
bayesian computation
probabilistic machine learning
computational statistical mechanics
high-dimensional sampling algorithms
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Xiao Wang
Purdue University United States of America
computational methods
statistical inference
stochastic analysis
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Wei Zhang
University of Sydney Australia
computational methods
likelihood approximation
probability density estimation
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Michael Griebel
University of Bonn Germany
numerical approximation
random fields
numerical simulation
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Kay Wiese
Simon Fraser University Canada
evolutionary computation
machine learning
computational intelligence
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Satish Thittamaranahalli
University of Southern California United States of America
probabilistic reasoning
computational physics
machine learning
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Satish Thittamaranahalli
University of Southern California United States of America
approximation randomization
probabilistic reasoning
computational physics
machine learning
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Satish Thittamaranahalli
University of Southern California United States of America
approximation and randomization
probabilistic reasoning
computational physics
machine learning
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Guotao Ma
University of Warwick United Kingdom
probabilistic analysis
computational modeling
machine learning
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Monika Eisenmann
Lund University Sweden
randomized algorithms
numerical approximation
stochastic numerical analysis
machine learning
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Wilkins Aquino
Duke University Singapore
computational mechanics
computational inverse problems
computational acoustics
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Wilkins Aquino
Duke University Singapore
computational mechanics
computational inverse problems
computational acoustics
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Mahdi Soltanolkotabi
University of Southern California United States of America
statistical inference
high-dimensional probability statistics
computational imaging
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Karthik Shekhar
University of California, Berkeley United States of America
computational approaches
statistical inference
machine learning
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Umberto Picchini
Chalmers University of Technology Sweden
approximate bayesian computation
statistical inference
stochastic modelling
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Umberto Picchini
University of Gothenburg Sweden
approximate bayesian computation
statistical inference
stochastic modelling
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