Riemannian Optimization Professors in Global

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Yaoliang Yu
University of Waterloo Canada
robust stochastic optimization
optimization algorithms
non-convex optimization
convex optimization
machine learning
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Katya Scheinberg
Georgia Institute of Technology United States of America
optimization
continuous optimization
derivative-free optimization
convex optimization
machine learning
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Emre Yildirim
University of Edinburgh United Kingdom
optimization algorithms
nonconvex optimization
convex optimization
machine learning
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Kalyanmoy Deb
Michigan State University United States of America
computational optimization
hybrid optimization algorithms
multi-objective optimization
process optimization
meta-modeling optimization
evolutionary multi-objective optimization
machine learning
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Martin Andersen
Technical University of Denmark Denmark
numerical optimization
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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Vijaya Raghavendra Bollapragada
University of Texas at Austin United States of America
stochastic optimization
optimization algorithms
nonlinear optimization
constrained optimization
distributed 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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Ruiwei Jiang
University of Michigan United States of America
stochastic optimization
discrete optimization
data-enabled stochastic optimization
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Bistra Dilkina
University of Southern California United States of America
stochastic optimization
discrete optimization
machine learning
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Bistra Dilkina
University of Southern California United States of America
stochastic optimization
combinatorial optimization
discrete optimization
machine learning
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Viswanath Nagarajan
University of Michigan United States of America
stochastic optimization
discrete optimization
machine learning
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Olga Kuryatnikova
Erasmus University Rotterdam Netherlands
optimization
non-linear optimization
machine learning
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Nathaniel Bastian
Pennsylvania State University United States of America
optimization
computational stochastic optimization
multiple objective optimization
machine learning
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Saeed Ghadimi
University of Waterloo Canada
stochastic optimization
nonconvex optimization
machine learning
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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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Ashok Cutkosky
Boston University United States of America
optimization algorithms
non-convex optimization
machine learning
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Fengqi You
Cornell University Netherlands
optimization algorithms
supply chain optimization
machine learning
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Sushant Sachdeva
University of Toronto Canada
optimization
mathematical machine learning
convex optimization
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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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