Probabilistic Constraints Professors in Global

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Kavita Ramanan
Brown University United States of America
probability theory
high-dimensional probability
stochastic analysis
stochastic networks
stochastic processes
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Krzysztof Latuszynski
University of Warwick United Kingdom
probabilistic algorithms
stochastic simulation
applied probability
computational statistics
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Johan Kwisthout
Radboud University Netherlands
probabilistic graphical models
computational complexity
stochastic computing
approximate bayesian inference
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Ivan Kryven
Utrecht University Netherlands
probability
randomized algorithms
random approximation algorithms
stochastic analysis
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Eliezer Upfal
Brown University United States of America
probabilistic analysis
randomized algorithms
stochastic optimization
computational statistics
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Torkel Erhardsson
Linköping University Sweden
probability theory
bayesian inference
stochastic processes
statistical inference
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Sergio Albeverio
University of Bonn Germany
probability theory
stochastic analysis
stochastic processes
mathematical modeling
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Gareth Roberts
University of Warwick United Kingdom
stochastic simulation
stochastic processes
statistical inference
computational statistics
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Umberto Picchini
Chalmers University of Technology Sweden
stochastic modelling
approximate bayesian computation
statistical inference
bayesian computational methods
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Yanan Fan
University of New South Wales Australia
bayesian inference
approximate bayesian computation
bayesian computation
bayesian nonparametrics
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Umberto Picchini
University of Gothenburg Sweden
stochastic modelling
approximate bayesian computation
statistical inference
bayesian computational methods
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Lin Fan
Northwestern University United States of America
stochastic simulation
stochastic processes
applied probability
statistical inference
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Pierre Flener
Uppsala University Sweden
constraint modeling
constraint programming
constraint solving
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Satish Thittamaranahalli
University of Southern California United States of America
constraint reasoning
probabilistic reasoning
approximation randomization
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Matthew Jenssen
King's College London United Kingdom
probabilistic
probability
discrete probability
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Martin Möhle
Eberhard Karls University Tübingen Germany
probabilistic number theory
probability theory
stochastic processes
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Tom Rainforth
University of Oxford United Kingdom
probabilistic programming
probabilistic data-efficient approaches
approximate inference
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Kemal Büyükkurt
Concordia University Canada
probabilistic choice models
probabilistic decision support systems
subjective probability distributions
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Nick Whiteley
University of Bristol United Kingdom
probabilistic modelling
bayesian modelling
statistical inference
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Hina Shaheen
University of Manitoba Canada
probability stochastic processes
bayesian inference
computational modelling
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Jonathan Noel
University of Victoria Canada
probabilistic combinatorics
computational complexity
combinatorial limits
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