Optimizing Algorithms Professors in Global

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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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Elad Hazan
Princeton University United States of America
optimization
algorithms
stochastic optimization
machine learning
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Nathan Kallus
Cornell University Netherlands
optimization
stochastic optimization
machine learning
robust optimization
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Dick Den Hertog
University of Amsterdam Netherlands
optimization in machine learning
linear optimization
nonlinear optimization
robust optimization
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Viswanath Nagarajan
University of Michigan United States of America
algorithms
stochastic optimization
machine learning
discrete optimization
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Ruth Misener
Imperial College London United Kingdom
algorithms
optimization models
computational optimization
data-driven optimization
machine learning
robust optimization
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Mahdi Mehrtash
Johns Hopkins University United States of America
No active positions
stochastic optimization
global optimization
distributed optimization
power system optimization
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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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Dick Den Hertog
University of Amsterdam Netherlands
linear optimization
nonlinear optimization
machine learning
robust optimization
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Eric Kerrigan
Imperial College London United Kingdom
dynamic optimization
numerical optimization methods
multi-objective optimization
control optimization
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Bistra Dilkina
University of Southern California United States of America
stochastic optimization
combinatorial optimization
machine learning
discrete optimization
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John Chinneck
Carleton University Canada
optimization
algorithms
nonlinear optimization
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Andre Nogueira Alves
University of Melbourne Australia
optimization
algorithms
machine learning
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Alice Paul
Brown University United States of America
optimization
algorithms
machine learning
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Peter Mcmahon
Cornell University Netherlands
optimization
algorithms
machine learning
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Yi-chun Akchen
University College London United Kingdom
optimization
algorithms
machine learning
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Markus Püschel
ETH Zurich Switzerland
optimization
algorithms
machine learning
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Sören Laue
University of Hamburg Germany
optimization
algorithms
machine learning
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University of Sherbrooke Canada
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optimization
algorithms
machine learning
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Brian Bullins
Purdue University United States of America
optimization
algorithms
machine learning
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Nima Anari
Stanford University United States of America
optimization
algorithms
machine learning
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