Differentiable Optimization Professors in Global

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Albert Berahas
University of Michigan United States of America
distributed optimization
stochastic optimization
derivative-free optimization
machine learning optimization
constrained optimization
nonlinear optimization
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Vijaya Raghavendra Bollapragada
University of Texas at Austin United States of America
distributed optimization
stochastic optimization
optimization algorithms
constrained optimization
nonlinear optimization
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Kalyanmoy Deb
Michigan State University United States of America
computational optimization
multi-objective optimization
hybrid optimization algorithms
process optimization
evolutionary multi-objective optimization
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Bartolomeo Stellato
Princeton University United States of America
differentiable optimization
mathematical optimization
large scale optimization
real-time embedded optimization
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Cynthia Vinzant
University of Washington United States of America
discrete optimization
mathematical optimization
linear optimization
combinatorial optimization
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John Jørgensen
Technical University of Denmark Denmark
dynamic optimization
numerical optimization
differential equations
process optimization
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Eric Kerrigan
Imperial College London United Kingdom
dynamic optimization
multi-objective optimization
numerical optimization methods
control optimization
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Dick Den Hertog
University of Amsterdam Netherlands
linear optimization
nonlinear optimization
robust optimization
optimization in machine learning
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Mahdi Mehrtash
Johns Hopkins University United States of America
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distributed optimization
stochastic optimization
global optimization
power system optimization
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Shixuan Zhang
Texas A&M University United States of America
stochastic optimization
polynomial optimization
robust optimization
integer optimization
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John Chinneck
Carleton University Canada
optimization
feasibility optimization
nonlinear optimization
mixed integer optimization
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Merve Bodur
University of Edinburgh United Kingdom
multiobjective optimization
combinatorial optimization
robust optimization
inverse optimization
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Yinyu Ye
Stanford University United States of America
discrete optimization
dynamic optimization
continuous optimization
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Mark Daskin
University of Michigan United States of America
discrete optimization
mathematical optimization
integer optimization
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Siva Maguluri
Georgia Institute of Technology United States of America
distributed optimization
optimization
stochastic optimization
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Marina Epelman
University of Michigan United States of America
discrete optimization
mathematical optimization
integer optimization
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Michael Patriksson
Chalmers University of Technology Sweden
non-differentiable optimization
nonlinear optimization
combinatorial optimization
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Yan Li
Texas A&M University United States of America
dynamic optimization
stochastic optimization
robust optimization
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Ruiwei Jiang
University of Michigan United States of America
discrete optimization
stochastic optimization
data-enabled stochastic optimization
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Xu Zhou
Imperial College London United Kingdom
distributed optimization
stochastic optimization
robust optimization
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Danial Davarnia
Purdue University United States of America
discrete optimization
network optimization
global optimization
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