Large Scale Stochastic Optimization Professors in Global

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Vijaya Raghavendra Bollapragada
University of Texas at Austin United States of America
stochastic optimization
optimization algorithms
constrained optimization
nonlinear optimization
distributed optimization
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Albert Berahas
University of Michigan United States of America
stochastic optimization
machine learning optimization
constrained optimization
nonlinear optimization
distributed optimization
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Dick Den Hertog
University of Amsterdam Netherlands
linear optimization
robust optimization
nonlinear optimization
optimization in machine learning
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Chaoyue Zhao
University of Washington United States of America
stochastic optimization
data-driven optimization
robust optimization
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Chaoyue Zhao
University of Washington United States of America
stochastic optimization
data-driven optimization
robust optimization
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Xu Zhou
Imperial College London United Kingdom
stochastic optimization
robust optimization
distributed optimization
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Nathan Kallus
Cornell University Netherlands
stochastic optimization
robust optimization
optimization
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Mahdi Mehrtash
Johns Hopkins University United States of America
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stochastic optimization
distributed optimization
global optimization
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Siva Maguluri
Georgia Institute of Technology United States of America
stochastic optimization
distributed optimization
optimization
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Ruth Misener
Imperial College London United Kingdom
computational optimization
optimization models
data-driven optimization
robust optimization
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George Papavassilopoulos
University of Southern California United States of America
optimization algorithms
stochastic learning automata
optimization
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Dick Den Hertog
University of Amsterdam Netherlands
linear optimization
robust optimization
nonlinear optimization
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Zhuo Jin
Macquarie University Australia
stochastic optimal control
stochastic games
numerical methods for stochastic systems
large language models
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Nathaniel Bastian
Pennsylvania State University United States of America
computational stochastic optimization
multiple objective optimization
big data analytics
optimization
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Xiuli Chao
University of Michigan United States of America
stochastic optimization
stochastic processes
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Vahideh Manshadi
Yale University United States of America
stochastic optimization
data-driven optimization
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Arkadi Nemirovski
Georgia Institute of Technology United States of America
stochastic optimization
continuous optimization
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Masoumeh Kazemi-zanjani
Concordia University Canada
stochastic optimization
robust optimization
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Yan Li
Texas A&M University United States of America
stochastic optimization
robust optimization
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Shixuan Zhang
Texas A&M University United States of America
stochastic optimization
polynomial optimization
robust optimization
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Phebe Vayanos
University of Southern California United States of America
stochastic optimization
robust optimization
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