Convergence Of Optimization Algorithms Professors in Global

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Vijaya Raghavendra Bollapragada
University of Texas at Austin United States of America
optimization algorithms
constrained optimization
stochastic optimization
distributed optimization
nonlinear optimization
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Kalyanmoy Deb
Michigan State University United States of America
hybrid optimization algorithms
computational optimization
process optimization
multi-objective optimization
meta-modeling optimization
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Nisheeth Vishnoi
Yale University United States of America
approximation algorithms
convex optimization
combinatorial optimization
non-convex optimization
algorithmic theory
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Albert Berahas
University of Michigan United States of America
machine learning optimization
constrained optimization
stochastic optimization
distributed optimization
nonlinear optimization
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Ruth Misener
Imperial College London United Kingdom
computational optimization
optimization models
algorithms
data-driven optimization
robust optimization
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John Chinneck
Carleton University Canada
optimization
algorithms
concurrent algorithms
nonlinear optimization
mixed integer optimization
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Retsef Levi
Massachusetts Institute of Technology United States of America
optimization
approximation algorithms
combinatorial optimization
stochastic optimization
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Cynthia Vinzant
University of Washington United States of America
mathematical optimization
linear optimization
combinatorial optimization
discrete optimization
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Michael Patriksson
University of Gothenburg Sweden
mathematical optimization
convex optimization
combinatorial optimization
nonlinear optimization
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Arkadi Nemirovski
Georgia Institute of Technology United States of America
optimization theory
stochastic optimization
continuous optimization
algorithms
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Dick Den Hertog
University of Amsterdam Netherlands
optimization in machine learning
linear optimization
robust optimization
nonlinear optimization
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Jelena Diakonikolas
University of Wisconsin–Madison United States of America
convex optimization
first-order optimization algorithms
non-convex optimization
large-scale optimization
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Mehrdad Mahdavi
Pennsylvania State University United States of America
convex optimization
non-convex optimization
large-scale optimization
distributed optimization
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Somayeh Sojoudi
University of California, Berkeley United States of America
optimization theory
conic optimization
non-convex optimization
numerical algorithms
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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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Ermin Wei
Northwestern University United States of America
network optimization
distributed optimization algorithms
asynchronous algorithms
nonlinear convex optimization
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Merve Bodur
University of Edinburgh United Kingdom
combinatorial optimization
inverse optimization
multiobjective optimization
robust optimization
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Eric Kerrigan
Imperial College London United Kingdom
control optimization
multi-objective optimization
numerical optimization methods
dynamic optimization
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Merve Bodur
University of Edinburgh United Kingdom
combinatorial optimization
inverse optimization
multiobjective optimization
robust optimization
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Yaoliang Yu
University of Waterloo Canada
optimization algorithms
convex optimization
non-convex optimization
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Emre Yildirim
University of Edinburgh United Kingdom
optimization algorithms
convex optimization
nonconvex optimization
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