Machine Learning Augmented Optimization Professors in Global

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Kalyanmoy Deb
Michigan State University United States of America
machine learning
computational optimization
multi-objective optimization
hybrid optimization algorithms
process optimization
evolutionary multi-objective optimization
meta-modeling optimization
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Vijaya Raghavendra Bollapragada
University of Texas at Austin United States of America
machine learning
optimization algorithms
stochastic optimization
constrained optimization
distributed optimization
nonlinear optimization
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Siva Maguluri
Georgia Institute of Technology United States of America
stochastic optimization
optimization
distributed optimization
reinforcement learning
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Mohsen Amiri
Stockholm University Sweden
machine learning
optimization
reinforcement learning
deep learning
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University of Sherbrooke Canada
No active positions
machine learning
optimization
reinforcement learning
deep learning
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Jason Lee
University of California, Berkeley United States of America
machine learning
optimization
reinforcement learning
deep learning
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Volkan Cevher
École Polytechnique Fédérale de Lausanne Switzerland
machine learning
optimization
reinforcement learning
deep learning
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Maryam Fazel
University of Washington United States of America
machine learning
optimization
reinforcement learning
deep learning
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Jason Lee
University of California, Berkeley United States of America
machine learning
optimization
reinforcement learning
deep learning
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Yinyu Ye
Stanford University United States of America
machine learning
dynamic optimization
continuous optimization
reinforcement learning
discrete optimization
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Nathan Kallus
Cornell University Netherlands
machine learning
stochastic optimization
optimization
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Elad Hazan
Princeton University United States of America
machine learning
stochastic optimization
optimization
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Zhe Zhang
Purdue University United States of America
machine learning
stochastic optimization
distributed optimization
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Pascal Frossard
École Polytechnique Fédérale de Lausanne Switzerland
machine learning
network machine learning
optimization
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Molei Tao
Georgia Institute of Technology United States of America
machine learning
optimization
probabilistic machine learning
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Dick Den Hertog
University of Amsterdam Netherlands
machine learning
linear optimization
nonlinear optimization
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Saeed Ghadimi
University of Waterloo Canada
machine learning
stochastic optimization
reinforcement learning
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Constantine Caramanis
University of Texas at Austin United States of America
machine learning
adaptable optimization
reinforcement learning
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Miaolan Xie
Purdue University United States of America
machine learning
stochastic optimization
nonlinear optimization
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Bistra Dilkina
University of Southern California United States of America
machine learning
stochastic optimization
discrete optimization
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Bistra Dilkina
University of Southern California United States of America
machine learning
stochastic optimization
combinatorial optimization
discrete optimization
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