Stochastic Approximation Algorithms Professors in Global

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Fabio Nobile
École Polytechnique Fédérale de Lausanne Switzerland
stochastic differential equations
dynamical low-rank approximations
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Diyora Salimova
University of Freiburg Germany
computational stochastics
stochastic differential equations
approximation properties
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Mohamed Hibat-allah
University of Waterloo Canada
variational algorithms
quantum-inspired algorithms
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Oskar Eikenbroek
University of Twente Netherlands
mathematical optimization
genetic algorithms
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George Papavassilopoulos
University of Southern California United States of America
optimization algorithms
stochastic learning automata
parallel algorithms
genetic algorithms
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Nicole Wein
University of Michigan United States of America
distance-estimation algorithms
parameterized algorithms
dynamic algorithms
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Frederi Viens
Michigan State University United States of America
nonlinear stochastic filtering
stochastic control
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David Scheinker
Stanford University United States of America
mathematical optimization
probabilistic modeling
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Roger Ghanem
University of Southern California United States of America
computational stochastic mechanics
probabilistic modeling
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Roger Ghanem
University of Southern California United States of America
computational stochastic mechanics
probabilistic modeling
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Roger Ghanem
University of Southern California United States of America
computational stochastic mechanics
probabilistic modeling
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Operations Research Aachen
RWTH Aachen University Germany
mathematical optimization
computer science algorithms
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Mircea Grigoriu
Cornell University Netherlands
stochastic calculus
stochastic differential equations
stochastic partial differential equations
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Mahdieh Arezoomandan
University of Geneva Switzerland
stochastic differential equations
stochastic partial differential equations
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Siddhartha Banerjee
Cornell University Netherlands
network algorithms
stochastic control
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Siddhartha Banerjee
Cornell University Netherlands
network algorithms
stochastic control
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Tuğkan Batu
London School of Economics United Kingdom
algorithms
randomized computation
sublinear algorithms
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David Duvenaud
University of Toronto Canada
approximate bayesian inference
statistical computing
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Milind Kulkarni
Purdue University United States of America
optimizing algorithms
parallelizing algorithms
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Alessio Trivella
University of Twente Netherlands
approximate dynamic programming
mathematical optimization models
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Marc Renault
University of Wisconsin United States of America
approximation algorithms
search algorithms
analysis of algorithms
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