Combinatorial Stochastic Optimization Professors in Global

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Kalyanmoy Deb
Michigan State University United States of America
computational optimization
hybrid optimization algorithms
multi-objective optimization
evolutionary multi-objective optimization
meta-modeling optimization
process optimization
machine learning
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Vijaya Raghavendra Bollapragada
University of Texas at Austin United States of America
stochastic optimization
optimization algorithms
constrained optimization
distributed optimization
machine learning
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Shixuan Zhang
Texas A&M University United States of America
stochastic optimization
polynomial optimization
robust optimization
integer optimization
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Manuel Lopez-ibanez
University of Manchester United Kingdom
combinatorial optimisation
multi-objective optimisation
machine learning
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Siva Maguluri
Georgia Institute of Technology United States of America
stochastic optimization
distributed optimization
optimization
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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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Samir Maity
Aalborg University Denmark
combinatorial multi-objective optimization
predictive modeling
machine learning
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Zhe Zhang
Purdue University United States of America
stochastic optimization
distributed optimization
machine learning
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Nathan Kallus
Cornell University Netherlands
stochastic optimization
optimization
robust optimization
machine learning
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Elad Hazan
Princeton University United States of America
stochastic optimization
optimization
machine learning
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Phebe Vayanos
University of Southern California United States of America
stochastic optimization
robust optimization
integer optimization
machine learning
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Phebe Vayanos
University of Southern California United States of America
stochastic optimization
robust optimization
integer optimization
machine learning
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Phebe Vayanos
University of Southern California United States of America
stochastic optimization
robust optimization
integer optimization
machine learning
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Sebastian Denzler
Friedrich-Alexander-Universität Erlangen-Nürnberg Germany
robust bayesian optimization
distributionally robust optimization
optimization
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Ruth Misener
Imperial College London United Kingdom
computational optimization
optimization models
robust optimization
data-driven optimization
machine learning
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Sean Eberhard
University of Warwick United Kingdom
algebraic combinatorics
additive combinatorics
combinatorial counting problems
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Jaroslav Fowkes
University of Oxford United Kingdom
bayesian optimization
optimization
machine learning
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Jørgen Andersen
University of Southern Denmark Denmark
combinatorial problems
optimization
logistics optimization
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Omar El Housni
Cornell University Netherlands
optimization models
assortment optimization
dynamic optimization
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Jiajin Li
University of British Columbia Canada
optimization algorithms
continuous optimization
machine learning
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Swati Gupta
Massachusetts Institute of Technology United States of America
optimization
quantum optimization
machine learning
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