Robust Bayesian Optimization Professors in Global

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John Chinneck
Carleton University Canada
feasibility optimization
optimization
nonlinear optimization
mixed integer optimization
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Eric Kerrigan
Imperial College London United Kingdom
multi-objective optimization
dynamic optimization
numerical optimization methods
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Yinyu Ye
Stanford University United States of America
dynamic optimization
discrete optimization
continuous optimization
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Albert Berahas
University of Michigan United States of America
stochastic optimization
machine learning optimization
constrained optimization
nonlinear optimization
distributed optimization
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Vijaya Raghavendra Bollapragada
University of Texas at Austin United States of America
stochastic optimization
optimization algorithms
constrained optimization
nonlinear optimization
distributed optimization
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Kalyanmoy Deb
Michigan State University United States of America
computational optimization
hybrid optimization algorithms
multi-objective optimization
process optimization
evolutionary multi-objective optimization
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Ignacio Grossmann
Carnegie Mellon University United States of America
discrete optimization
continuous optimization
supply chain optimization
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Masoud Asadzadeh
University of Manitoba Canada
heuristic optimization
multi-objective optimization
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Meik Franke
University of Twente Netherlands
mixed-integer optimization
optimization
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Michael Sørensen
Aarhus University Denmark
integer combinatorial optimization
optimization
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Ali Ahrari
University of New South Wales Australia
multi-modal optimization
multi-objective optimization
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Peter Frazier
Cornell University Netherlands
bayesian statistics
optimization
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Po Yang
University of Manitoba Canada
bayesian approach
response optimization
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Thomas Weinmann
ZHAW Zurich University of Applied Sciences Switzerland
bayesian probabilistic models
optimization
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Bartolomeo Stellato
Princeton University United States of America
mathematical optimization
large scale optimization
real-time embedded optimization
differentiable optimization
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Peter Frazier
Cornell University Netherlands
bayesian statistics
simulation optimization
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Bryan Tolson
University of Waterloo Canada
multi-objective optimization
optimization
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Jalal Kazempour
Technical University of Denmark Denmark
data-driven optimization
optimization
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Deepjyoti Deka
Massachusetts Institute of Technology United States of America
data-driven optimization
optimization
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Yashar Pourrahimian
University of Alberta Canada
data-driven optimization
optimization
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Reem Khir
Purdue University United States of America
robust stochastic optimization
constrained optimization
optimization
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