Computational Stochastic Optimization Professors in Global

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Nathaniel Bastian
Pennsylvania State University United States of America
computational stochastic optimization
multiple objective optimization
optimization
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Prashant Singh
Uppsala University Sweden
constrained multi-objective optimization
computational biology
optimization
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Sebastian Denzler
Friedrich-Alexander-Universität Erlangen-Nürnberg Germany
robust bayesian optimization
distributionally robust optimization
optimization
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Mark Van Oyen
University of Michigan United States of America
stochastic optimization
online stochastic optimization
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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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Shixuan Zhang
Texas A&M University United States of America
stochastic optimization
polynomial optimization
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Renato Monteiro
Georgia Institute of Technology United States of America
computational optimization
continuous optimization
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Arkadi Nemirovski
Georgia Institute of Technology United States of America
stochastic optimization
continuous optimization
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Ruth Misener
Imperial College London United Kingdom
computational optimization
data-driven optimization
optimization models
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Martin Grunow
Technical University of Munich Germany
stochastic optimization
production systems optimization
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Julian Hall
University of Edinburgh United Kingdom
computational optimization
optimization
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Eliezer Upfal
Brown University United States of America
stochastic optimization
computational statistics
computational biology
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Retsef Levi
Massachusetts Institute of Technology United States of America
stochastic optimization
combinatorial optimization
optimization
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Siva Maguluri
Georgia Institute of Technology United States of America
stochastic optimization
distributed optimization
optimization
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Nathan Kallus
Cornell University Netherlands
stochastic optimization
optimization
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Elad Hazan
Princeton University United States of America
stochastic optimization
optimization
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Mehrdad Mahdavi
Pennsylvania State University United States of America
computational statistical machine learning
computational learning theory
distributed optimization
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Sergey Zuev
Chalmers University of Technology Sweden
stochastic stability optimization
stochastic geometry
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Sergei Zuyev
University of Gothenburg Sweden
stochastic stability optimization
stochastic geometry
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Juergen Branke
Warwick Business School United Kingdom
bayesian optimization
simulation-based optimization
multi-objective optimization
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