Stochastic Algorithms Professors in Global

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Sem Borst
Eindhoven University of Technology Belgium
large-scale stochastic networks
stochastic operations research
resource allocation algorithms
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Mircea Grigoriu
Cornell University Netherlands
stochastic calculus
stochastic differential equations
numerical methods for solving stochastic problems
stochastic partial differential equations
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George Papavassilopoulos
University of Southern California United States of America
stochastic learning automata
optimization algorithms
genetic algorithms
parallel algorithms
dynamic stochastic games
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Mark Van Oyen
University of Michigan United States of America
stochastic optimization
online stochastic optimization
machine learning
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Quan Zhou
Texas A&M University United States of America
stochastic optimization
iterative algorithms
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Erik Ekström
Uppsala University Sweden
stochastic optimization
stochastic differential equations
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Xiaofei Shi
University of Toronto Canada
stochastic optimization
stochastic differential equations
machine learning
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Johannes Royset
University of Southern California United States of America
stochastic optimization
deterministic optimization
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Johannes Royset
University of Southern California United States of America
stochastic optimization
deterministic optimization
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Houman Owhadi
California Institute of Technology United States of America
stochastic mechanics
multi-scale stochastic analysis
machine learning
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Houman Owhadi
California Institute of Technology United States of America
stochastic mechanics
multi-scale stochastic analysis
machine learning
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Monika Eisenmann
Lund University Sweden
stochastic numerical analysis
randomized algorithms
stochastic differential equations
machine learning
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Vikram Krishnamurthy
Cornell University Netherlands
stochastic optimization
statistical signal processing
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Jacob Mays
Cornell University Netherlands
stochastic optimization
statistical learning
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Krishna Balasubramanian
University of California, Davis United States of America
stochastic optimization
statistical learning
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Hossein Abouee Mehrizi
University of Waterloo Canada
stochastic processes optimization
complex stochastic systems
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Pavel Gapeev
London School of Economics United Kingdom
stochastic analysis
stochastic games
stochastic control problems
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Mohammad Salavatipour
University of Alberta Canada
probabilistic randomized algorithms
approximation algorithms
algorithmics
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Balaji Prabhakar
Stanford University United States of America
stochastic network theory
network algorithms
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Diyora Salimova
University of Freiburg Germany
computational stochastics
stochastic differential equations
machine learning
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Wei Sun
Concordia University Canada
stochastic analysis
stochastic dynamical systems
stochastic differential equations
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