Optimization Inspired Neural Networks Professors in Global

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Vijaya Raghavendra Bollapragada
University of Texas at Austin United States of America
optimization algorithms
distributed optimization
constrained optimization
stochastic optimization
nonlinear optimization
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Albert Berahas
University of Michigan United States of America
machine learning optimization
distributed optimization
constrained optimization
stochastic optimization
nonlinear optimization
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Ruth Misener
Imperial College London United Kingdom
optimization models
data-driven optimization
computational optimization
robust optimization
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Retsef Levi
Massachusetts Institute of Technology United States of America
optimization
data-driven algorithms
stochastic optimization
combinatorial optimization
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Cynthia Vinzant
University of Washington United States of America
mathematical optimization
linear optimization
combinatorial optimization
discrete optimization
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Alexandre Jacquillat
Massachusetts Institute of Technology United States of America
integer optimization
stochastic optimization
large-scale optimization
data-driven decision making
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Shixuan Zhang
Texas A&M University United States of America
integer optimization
stochastic optimization
polynomial optimization
robust optimization
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Bartolomeo Stellato
Princeton University United States of America
machine learning optimization data-driven algorithms
mathematical optimization
large scale optimization
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Jan Kronqvist
Royal Institute of Technology Sweden
optimization algorithms
ai in optimization
mixed-integer optimization
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Siva Maguluri
Georgia Institute of Technology United States of America
optimization
distributed optimization
stochastic optimization
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John Jørgensen
Technical University of Denmark Denmark
numerical optimization
process optimization
dynamic optimization
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Marco Chiarandini
University of Southern Denmark Denmark
optimization algorithms
combinatorial optimization
continuous optimization theory
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Bissan Ghaddar
Western University Canada
optimization models
energy optimization
transportation network optimization
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Marina Epelman
University of Michigan United States of America
mathematical optimization
integer optimization
discrete optimization
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Mark Daskin
University of Michigan United States of America
mathematical optimization
integer optimization
discrete optimization
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Nathan Kallus
Cornell University Netherlands
optimization
stochastic optimization
robust optimization
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Danial Davarnia
Purdue University United States of America
network optimization
global optimization
discrete optimization
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Arkadi Nemirovski
Georgia Institute of Technology United States of America
optimization theory
continuous optimization
stochastic optimization
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John Chinneck
Carleton University Canada
optimization
nonlinear optimization
mixed integer optimization
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Chaoyue Zhao
University of Washington United States of America
data-driven optimization
stochastic optimization
robust optimization
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Chaoyue Zhao
University of Washington United States of America
data-driven optimization
stochastic optimization
robust optimization
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