Bayesian 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
machine learning
distributed optimization
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Phebe Vayanos
University of Southern California United States of America
stochastic optimization
machine learning
integer optimization
robust optimization
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Phebe Vayanos
University of Southern California United States of America
stochastic optimization
machine learning
integer optimization
robust optimization
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Phebe Vayanos
University of Southern California United States of America
stochastic optimization
machine learning
integer optimization
robust optimization
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Kalyanmoy Deb
Michigan State University United States of America
computational optimization
multi-objective optimization
process optimization
evolutionary multi-objective optimization
hybrid optimization algorithms
machine learning
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Eric Kerrigan
Imperial College London United Kingdom
multi-objective optimization
dynamic optimization
numerical optimization methods
control optimization
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Peter Frazier
Cornell University Netherlands
bayesian statistics
simulation optimization
machine learning
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Nathan Kallus
Cornell University Netherlands
stochastic optimization
optimization
machine learning
robust optimization
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Zhe Zhang
Purdue University United States of America
stochastic optimization
machine learning
distributed optimization
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Yan Li
Texas A&M University United States of America
stochastic optimization
dynamic optimization
robust optimization
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Shixuan Zhang
Texas A&M University United States of America
stochastic optimization
polynomial optimization
integer optimization
robust optimization
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Xu Zhou
Imperial College London United Kingdom
stochastic optimization
robust optimization
distributed optimization
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Bistra Dilkina
University of Southern California United States of America
stochastic optimization
machine learning
discrete optimization
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Bistra Dilkina
University of Southern California United States of America
stochastic optimization
combinatorial optimization
machine learning
discrete optimization
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Viswanath Nagarajan
University of Michigan United States of America
stochastic optimization
machine learning
discrete 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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Yaoliang Yu
University of Waterloo Canada
optimization algorithms
robust stochastic optimization
machine learning
non-convex optimization
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Ashok Cutkosky
Boston University United States of America
optimization algorithms
machine learning
non-convex optimization
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Fengqi You
Cornell University Netherlands
optimization algorithms
machine learning
supply chain optimization
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Jelena Diakonikolas
University of Wisconsin–Madison United States of America
large-scale optimization
machine learning
first-order optimization algorithms
non-convex optimization
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Merve Bodur
University of Edinburgh United Kingdom
combinatorial optimization
multiobjective optimization
machine learning
robust optimization
inverse optimization
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