Non Convex Optimization Professors in Global

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Albert Berahas
University of Michigan United States of America
nonlinear optimization
constrained optimization
stochastic optimization
machine learning optimization
distributed optimization
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Vijaya Raghavendra Bollapragada
University of Texas at Austin United States of America
nonlinear optimization
constrained optimization
optimization algorithms
stochastic optimization
distributed optimization
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Renato Monteiro
Georgia Institute of Technology United States of America
convex programming
convex quadratic programming
computational optimization
continuous optimization
nonlinear programming
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Kalyanmoy Deb
Michigan State University United States of America
computational optimization
meta-modeling optimization
multi-objective optimization
hybrid optimization algorithms
process optimization
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Mehrdad Mahdavi
Pennsylvania State University United States of America
non-convex optimization
convex optimization
large-scale optimization
distributed optimization
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Michael Patriksson
Chalmers University of Technology Sweden
convex optimization
nonlinear optimization
non-differentiable optimization
combinatorial optimization
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Michael Patriksson
University of Gothenburg Sweden
convex optimization
nonlinear optimization
mathematical optimization
combinatorial optimization
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Robert Freund
Massachusetts Institute of Technology United States of America
convex optimization
nonlinear optimization theory
linear conic optimization
computational complexity in nonlinear optimization
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George Papavassilopoulos
University of Southern California United States of America
nonconvex problems
optimization
optimization algorithms
nonlinear filtering
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Dick Den Hertog
University of Amsterdam Netherlands
nonlinear optimization
linear optimization
optimization in machine learning
robust optimization
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Cynthia Vinzant
University of Washington United States of America
mathematical optimization
linear optimization
discrete optimization
combinatorial optimization
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Marina Epelman
University of Michigan United States of America
mathematical optimization
discrete optimization
integer optimization
optimization under uncertainty
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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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Eric Kerrigan
Imperial College London United Kingdom
numerical optimization methods
control optimization
multi-objective optimization
dynamic optimization
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Ruth Misener
Imperial College London United Kingdom
computational optimization
optimization models
robust optimization
data-driven optimization
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Jelena Diakonikolas
University of Wisconsin–Madison United States of America
non-convex optimization
convex optimization
large-scale optimization
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Yaoliang Yu
University of Waterloo Canada
non-convex optimization
convex optimization
optimization algorithms
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Mehrdad Mahdavi
Pennsylvania State University United States of America
non-convex optimization
convex optimization
distributed optimization
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Nisheeth Vishnoi
Yale University United States of America
non-convex optimization
convex optimization
combinatorial optimization
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Emre Yildirim
University of Edinburgh United Kingdom
nonconvex optimization
convex optimization
optimization algorithms
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Somayeh Sojoudi
University of California, Berkeley United States of America
non-convex optimization
conic optimization
low-rank optimization
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