Randomness Computation Professors in Global

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Ivan Kryven
Utrecht University Netherlands
randomized algorithms
random approximation algorithms
random graph representation
random matrices
stochastic analysis
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John Reif
Duke University Singapore
randomized algorithms
quantum computation
optical computation
algebraic computation
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John Reif
Duke University Singapore
randomized algorithms
quantum computation
optical computation
algebraic computation
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Eliezer Upfal
Brown University United States of America
randomized algorithms
computational statistics
probabilistic analysis
stochastic optimization
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Nazim Khan
University of Western Australia Australia
computational statistics
statistical computing
computational methods
stochastic modelling
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Monika Eisenmann
Lund University Sweden
randomized algorithms
numerical approximation
stochastic numerical analysis
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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Michał Dereziński
University of Michigan United States of America
random matrix theory
randomized numerical linear algebra
machine learning
stochastic optimization
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Xiucai Ding
University of California, Davis United States of America
randomized numerical linear algebra
applied random matrix theory
scalable computation
stochastic optimization
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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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Satish Thittamaranahalli
University of Southern California United States of America
approximation and randomization
probabilistic reasoning
computational physics
machine learning
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Avi Wigderson
Institute for Advanced Study United States of America
randomness in computation
quantum computation
distributed computation
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John Reif
Duke University Singapore
randomized algorithms
quantum computation
optical computation
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Nicolas Loizou
Johns Hopkins University United States of America
randomized algorithms
randomized numerical linear algebra
machine learning
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Berwin Turlach
University of Western Australia Australia
computational statistics
statistical computing
machine learning
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Krzysztof Latuszynski
University of Warwick United Kingdom
computational statistics
stochastic simulation
probabilistic algorithms
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A.c.c. Coolen
Radboud University Netherlands
random networks
statistical inference
machine learning
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Richard Jozsa
University of Cambridge United Kingdom
quantum computation
computational complexity
quantum algorithms
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Alexander Wein
University of California, Davis United States of America
tensor computation
computational complexity
statistical inference
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Gareth Roberts
University of Warwick United Kingdom
computational statistics
stochastic simulation
statistical inference
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Luke Miller
Radboud University Netherlands
neural computations
computational modeling
machine learning
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