Large Scale Combinatorial Optimization Professors in Global

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Vijaya Raghavendra Bollapragada
University of Texas at Austin United States of America
stochastic optimization
optimization algorithms
distributed optimization
constrained optimization
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Richard Duke
Georgia Institute of Technology United States of America
probabilistic combinatorics
algebraic combinatorics
additive combinatorics
extremal combinatorics
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Richard Duke
Georgia Institute of Technology United States of America
probabilistic combinatorics
algebraic combinatorics
additive combinatorics
extremal combinatorics
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Siva Maguluri
Georgia Institute of Technology United States of America
stochastic optimization
distributed optimization
optimization
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Albert Berahas
University of Michigan United States of America
stochastic optimization
machine learning optimization
distributed optimization
constrained 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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Yufei Zhao
Massachusetts Institute of Technology United States of America
probabilistic combinatorics
additive combinatorics
extremal combinatorics
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Sean Eberhard
University of Warwick United Kingdom
algebraic combinatorics
additive combinatorics
combinatorial counting problems
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Jan Kronqvist
Royal Institute of Technology Sweden
optimization algorithms
mixed-integer optimization
ai in optimization
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John Chinneck
Carleton University Canada
optimization
feasibility optimization
mixed integer optimization
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Thomas González Roberts
Georgia Institute of Technology United States of America
large scale computations
optimization
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Zhe Zhang
Purdue University United States of America
stochastic optimization
distributed optimization
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Subhrakanti Dey
Uppsala University Sweden
stochastic optimization
distributed optimization
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Xu Zhou
Imperial College London United Kingdom
stochastic optimization
robust optimization
distributed optimization
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Retsef Levi
Massachusetts Institute of Technology United States of America
combinatorial optimization
stochastic optimization
optimization
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Nathan Kallus
Cornell University Netherlands
stochastic optimization
robust optimization
optimization
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Elad Hazan
Princeton University United States of America
stochastic optimization
optimization
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Quan Zhou
Texas A&M University United States of America
stochastic optimization
iterative algorithms
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Jim Luedtke
University of Wisconsin–Madison United States of America
stochastic optimization
mixed-integer optimization
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George Papavassilopoulos
University of Southern California United States of America
optimization algorithms
optimization
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Vahideh Manshadi
Yale University United States of America
stochastic optimization
data-driven optimization
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