Optimization In Machine Learning Professors in Global

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Nathaniel Bastian
Pennsylvania State University United States of America
optimization
machine learning
multiple objective optimization
computational stochastic optimization
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Kalyanmoy Deb
Michigan State University United States of America
computational optimization
process optimization
meta-modeling optimization
multi-objective optimization
hybrid optimization algorithms
machine learning
evolutionary multi-objective optimization
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Thomas Stidsen
Technical University of Denmark Denmark
optimization using metaheuristics
telecommunication optimization
optimization using decomposition
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Yashar Pourrahimian
University of Alberta Canada
optimization
mining optimization
data-driven optimization
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Swati Gupta
Massachusetts Institute of Technology United States of America
optimization
quantum optimization
machine learning
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Ambuj Tewari
University of Michigan United States of America
optimization
machine learning
theory of machine learning
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Zhibin Chen
New York University United States of America
optimization
discrete optimization
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Andre Cire
University of Toronto Canada
optimization
discrete optimization
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Michael Sørensen
Aarhus University Denmark
optimization
integer combinatorial optimization
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Katta Murty
University of Michigan United States of America
optimization
optimum decision making
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Yuxin Chen
University of Pennsylvania United States of America
optimization
statistical machine learning
machine learning theory
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Anders Forsgren
KTH Royal Institute of Technology Sweden
optimization in cell biology
optimization systems theory
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Bo Peng
KTH Royal Institute of Technology Sweden
system-level optimization
memory subsystem optimization
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Karen Aardal
Delft University of Technology Netherlands
cost optimization
demand optimization
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Pascal Etman
Eindhoven University of Technology Belgium
system design optimization
model-based design optimization
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Arjan Habraken
Eindhoven University of Technology Belgium
adaptive optimization
form optimization
topology optimization
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Ignacio Grossmann
Carnegie Mellon University United States of America
continuous optimization
supply chain optimization
discrete optimization
energy systems optimization
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Lisa Hellerstein
New York University Tandon School of Engineering United States of America
stochastic combinatorial optimization
machine learning theory
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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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Yiming Ying
University of Sydney Australia
optimisation in machine learning
machine learning
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John Doe
Delft University of Technology Netherlands
algorithm optimization
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