Large Scale Distributed Optimization Professors in Global

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Bartolomeo Stellato
Princeton University United States of America
large scale optimization
mathematical optimization
differentiable optimization
real-time embedded optimization
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Vijaya Raghavendra Bollapragada
University of Texas at Austin United States of America
distributed optimization
stochastic optimization
constrained optimization
optimization algorithms
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Albert Berahas
University of Michigan United States of America
distributed optimization
stochastic optimization
constrained optimization
machine learning optimization
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Cynthia Vinzant
University of Washington United States of America
mathematical optimization
combinatorial optimization
discrete optimization
linear optimization
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Ruth Misener
Imperial College London United Kingdom
computational optimization
data-driven optimization
optimization models
robust optimization
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Nathaniel Bastian
Pennsylvania State University United States of America
computational stochastic optimization
distributed resource allocation
multiple objective optimization
optimization
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Subhrakanti Dey
Uppsala University Sweden
distributed optimization
distributed machine learning
stochastic optimization
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Siva Maguluri
Georgia Institute of Technology United States of America
distributed optimization
stochastic optimization
optimization
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Xu Zhou
Imperial College London United Kingdom
distributed optimization
stochastic optimization
robust optimization
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Mahdi Mehrtash
Johns Hopkins University United States of America
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distributed optimization
stochastic optimization
global optimization
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Hossein Hashemi Doulabi
Concordia University Canada
large-scale optimization
stochastic optimization
robust optimization
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Chuan He
Linköping University Sweden
large-scale optimization
decentralized optimization
continuous optimization
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Vijay Garg
University of Texas at Austin United States of America
distributed algorithms
distributed computing
distributed debugging
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Ann-brith Strömberg
University of Gothenburg Sweden
mathematical optimization
multi-objective optimization
simulation-based optimization
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Bistra Dilkina
University of Southern California United States of America
stochastic optimization
combinatorial optimization
discrete optimization
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Hyunyoung Lee
Texas A&M University United States of America
distributed algorithms
distributed shared data structures
dynamic distributed systems
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Ruiwei Jiang
University of Michigan United States of America
stochastic optimization
discrete optimization
data-enabled stochastic optimization
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Sebastian Denzler
Friedrich-Alexander-Universität Erlangen-Nürnberg Germany
distributionally robust optimization
optimization
robust bayesian optimization
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Chaoyue Zhao
University of Washington United States of America
stochastic optimization
data-driven optimization
robust optimization
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Retsef Levi
Massachusetts Institute of Technology United States of America
stochastic optimization
combinatorial optimization
optimization
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Rahim Rahmani
Stockholm University Sweden
distributed data processing
distributed systems
distributed intelligence
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