Combinatorial Optimization Professors in Global

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Kalyanmoy Deb
Michigan State University United States of America
computational optimization
hybrid optimization algorithms
process optimization
multi-objective optimization
meta-modeling optimization
evolutionary multi-objective optimization
machine learning
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Vijaya Raghavendra Bollapragada
University of Texas at Austin United States of America
optimization algorithms
stochastic optimization
constrained optimization
distributed optimization
nonlinear optimization
machine learning
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Merve Bodur
University of Edinburgh United Kingdom
combinatorial optimization
robust optimization
multiobjective optimization
inverse optimization
machine learning
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Bartolomeo Stellato
Princeton University United States of America
mathematical optimization
large scale optimization
differentiable optimization
real-time embedded optimization
machine learning
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Albert Berahas
University of Michigan United States of America
machine learning optimization
stochastic optimization
constrained optimization
distributed optimization
nonlinear optimization
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Jelena Diakonikolas
University of Wisconsin–Madison United States of America
large-scale optimization
first-order optimization algorithms
convex optimization
non-convex optimization
machine learning
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Yaoliang Yu
University of Waterloo Canada
optimization algorithms
robust stochastic optimization
convex optimization
non-convex optimization
machine learning
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Lucia Moura
University of Ottawa Canada
combinatorial optimization
combinatorial algorithms
combinatorics
combinatorial designs
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Cynthia Vinzant
University of Washington United States of America
combinatorial optimization
mathematical optimization
linear optimization
discrete optimization
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Noga Alon
Princeton University United States of America
combinatorial algorithms
combinatorics
combinatorial number theory
combinatorial geometry
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Michael Patriksson
University of Gothenburg Sweden
combinatorial optimization
mathematical optimization
convex optimization
nonlinear optimization
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Nick Wormald
Monash University Australia
combinatorics
combinatorial structures
probabilistic combinatorics
combinatorial graph algorithms
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Juan Vera Lizcano
Tilburg University Netherlands
combinatorial optimization
polynomial copositive optimization
convergence of optimization algorithms
machine learning
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Manuel Lopez-ibanez
University of Manchester United Kingdom
combinatorial optimisation
multi-objective optimisation
optimisation
machine learning
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Michael Patriksson
Chalmers University of Technology Sweden
combinatorial optimization
convex optimization
nonlinear optimization
non-differentiable optimization
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Brenda Dietrich
Cornell University Netherlands
mathematical optimization
combinatorial duality
applied optimization
machine learning
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Shixuan Zhang
Texas A&M University United States of America
polynomial optimization
stochastic optimization
robust optimization
integer 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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Reem Khir
Purdue University United States of America
optimization
constrained optimization
robust stochastic optimization
machine learning
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Nathan Kallus
Cornell University Netherlands
optimization
stochastic optimization
robust optimization
machine learning
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Dick Den Hertog
University of Amsterdam Netherlands
linear optimization
optimization in machine learning
robust optimization
nonlinear optimization
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