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Stochastic Solvers
Stochastic Solvers Professors in Global
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Professor
Barbara Bravi
Imperial College London
United Kingdom
stochastic biochemical reactions
machine learning
statistical inference
mathematical modelling
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Professor
Nigel Stocks
University of Warwick
United Kingdom
stochastic resonance
stochastic nonlinear systems
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Professor
Haoyang Cao
Johns Hopkins University
United States of America
stochastic controls
stochastic differential games
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Professor
Chris De Sa
Cornell University
Netherlands
stochastic algorithms
high-performance machine learning
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Professor
Chris De Sa
Cornell University
Netherlands
stochastic algorithms
high-performance machine learning
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Professor
Jacob Mays
Cornell University
Netherlands
stochastic optimization
statistical learning
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Professor
Krishna Balasubramanian
University of California, Davis
United States of America
stochastic optimization
statistical learning
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Professor
James Beck
California Institute of Technology
United States of America
stochastic system modeling
quantum stochastic mechanics
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Professor
Quan Zhou
Texas A&M University
United States of America
stochastic optimization
iterative algorithms
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Professor
Alexandre Jacquillat
Massachusetts Institute of Technology
United States of America
stochastic optimization
large-scale optimization
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Professor
Hossein Hashemi Doulabi
Concordia University
Canada
stochastic optimization
large-scale optimization
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Professor
Yafei Wang
University of Alberta
Canada
stochastic optimization
statistical inference
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Professor
Philip Protter
Columbia University
United States of America
stochastic differential equations
stochastic integration theory
numerical solutions of stochastic differential equations
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Professor
Pierre Flener
Uppsala University
Sweden
stochastic local search
constraint solving
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Professor
Anastasia Papavasiliou
University of Warwick
United Kingdom
stochastic filtering
statistical inference
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Professor
Sem Borst
Eindhoven University of Technology
Belgium
large-scale stochastic networks
stochastic operations research
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Professor
Xenia Miscouridou
Imperial College London
United Kingdom
stochastic process modeling
statistical network modeling
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Professor
David Criens
Albert-Ludwigs-Universität Freiburg
Germany
stochastic partial differential equations
nonlinear stochastic processes
interacting stochastic processes
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Professor
Houman Owhadi
California Institute of Technology
United States of America
stochastic mechanics
multi-scale stochastic analysis
fast solvers
machine learning
statistical numerical approximation
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Professor
Houman Owhadi
California Institute of Technology
United States of America
stochastic mechanics
multi-scale stochastic analysis
fast solvers
machine learning
statistical numerical approximation
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Professor
Moritz Schauer
Chalmers University of Technology
Sweden
stochastic differential equations
dynamical stochastic models
statistical inference
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