Machine Learning Pipeline Optimization Professors in Global

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Eric Kerrigan
Imperial College London United Kingdom
multi-objective optimization
control optimization
dynamic optimization
numerical optimization methods
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Mehrdad Mahdavi
Pennsylvania State University United States of America
large-scale machine learning
computational statistical machine learning
distributed optimization
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Yuxin Chen
University of Pennsylvania United States of America
optimization
machine learning theory
statistical machine learning
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Jonathan Pillow
Princeton University United States of America
bayesian optimization
statistical machine learning
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Lisa Hellerstein
New York University Tandon School of Engineering United States of America
machine learning theory
stochastic combinatorial optimization
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Suvrajeet Sen
University of Southern California United States of America
large scale stochastic optimization
modeling optimization technologies
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Juergen Branke
Warwick Business School United Kingdom
multi-objective optimization
bayesian optimization
simulation-based optimization
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Robert Freund
Massachusetts Institute of Technology United States of America
statistical machine learning
large-scale nonlinear optimization
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Ignacio Grossmann
Carnegie Mellon University United States of America
supply chain optimization
energy systems optimization
continuous optimization
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Yuchen Wu
Cornell University Netherlands
statistical machine learning
sampling algorithms
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Hina Shaheen
University of Manitoba Canada
machine learning
statistical machine learning
computational modelling
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Jeffrey Siskind
Purdue University United States of America
machine vision
optimizing compilers
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Jeffrey Siskind
Purdue University United States of America
machine vision
optimizing compilers
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Bartolomeo Stellato
Princeton University United States of America
mathematical optimization
machine learning
large scale optimization
real-time embedded optimization
differentiable optimization
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Alfred Hero
University of Michigan United States of America
statistical machine learning
distributed optimization
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Mohsen Vatandoost
University of Michigan United States of America
machine learning
multi-objective multi-criteria optimization
structural optimization
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Pascal Etman
Eindhoven University of Technology Belgium
system design optimization
model-based design optimization
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Yinyu Ye
Stanford University United States of America
machine learning
dynamic optimization
continuous optimization
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Quan Nguyen
University of Southern California United States of America
control optimization
trajectory optimization
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Matthew Collette
University of Michigan United States of America
hydrodynamic optimization
design optimization
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Van Carey
University of California, Berkeley United States of America
machine learning in energy applications
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