Combinatorial Optimisation Professors in Global

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Jelena Diakonikolas
University of Wisconsin–Madison United States of America
large-scale optimization
first-order optimization algorithms
machine learning
convex optimization
non-convex optimization
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Somayeh Sojoudi
University of California, Berkeley United States of America
optimization theory
conic optimization
non-convex optimization
low-rank optimization
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Danial Davarnia
Purdue University United States of America
network optimization
global optimization
machine learning
discrete optimization
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Merve Bodur
University of Edinburgh United Kingdom
combinatorial optimization
robust optimization
multiobjective optimization
machine learning
inverse optimization
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Merve Bodur
University of Edinburgh United Kingdom
combinatorial optimization
robust optimization
multiobjective optimization
machine learning
inverse optimization
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Mohsen Vatandoost
University of Michigan United States of America
structural optimization
machine learning
multi-objective multi-criteria optimization
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Hamed Hassani
University of Pennsylvania United States of America
submodular optimization
machine learning
optimization techniques
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Casper Andreasen
Technical University of Denmark Denmark
structural optimization
machine learning
topology optimization
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Yinyu Ye
Stanford University United States of America
dynamic optimization
machine learning
continuous optimization
discrete optimization
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Prasanth Nair
University of Toronto Institute for Aerospace Studies Canada
machine learning
design optimization
computational modeling
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Juan Vera Lizcano
Tilburg University Netherlands
combinatorial optimization
machine learning
polynomial copositive optimization
convergence of optimization algorithms
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Ignacio Grossmann
Carnegie Mellon University United States of America
continuous optimization
supply chain optimization
discrete optimization
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Katya Scheinberg
Georgia Institute of Technology United States of America
optimization
machine learning
continuous optimization
convex optimization
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Mohit Singh
Georgia Institute of Technology United States of America
machine learning
discrete optimization
convex optimization
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Nick Harvey
University of British Columbia Canada
machine learning
convex optimization
randomized algorithms
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Yuxin Chen
Princeton University United States of America
machine learning
convex optimization
non-convex optimization
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Yaoliang Yu
University of Waterloo Canada
optimization algorithms
robust stochastic optimization
machine learning
convex optimization
non-convex optimization
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Joshua Knowles
University of Manchester United Kingdom
global optimization
multiobjective optimization
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Hamed Hassani
University of Pennsylvania United States of America
submodular optimization
machine learning
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Rupak Chatterjee
New York University Tandon School of Engineering United States of America
quantum optimization
machine learning
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Swati Gupta
Massachusetts Institute of Technology United States of America
optimization
quantum optimization
machine learning
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