Large Scale Deterministic Optimisation Professors in Global

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Professor

Vijaya Raghavendra Bollapragada

University of Texas at Austin United States of America

stochastic optimization

distributed optimization

optimization algorithms

machine learning

constrained optimization

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Professor

Kalyanmoy Deb

Michigan State University United States of America

computational optimization

multi-objective optimization

hybrid optimization algorithms

evolutionary multi-objective optimization

machine learning

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Professor

Bartolomeo Stellato

Princeton University United States of America

large scale optimization

mathematical optimization

differentiable optimization

machine learning

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Professor

Yassine Yaakoubi

Concordia University Canada

large-scale combinatorial optimization

probabilistic machine learning

stochastic programming

machine learning-augmented optimization

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Professor

Albert Berahas

University of Michigan United States of America

stochastic optimization

machine learning optimization

distributed optimization

constrained optimization

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Professor

Merve Bodur

University of Edinburgh United Kingdom

combinatorial optimization

stochastic programming

multiobjective optimization

machine learning

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Professor

Cynthia Vinzant

University of Washington United States of America

mathematical optimization

combinatorial optimization

linear optimization

discrete optimization

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Professor

Jelena Diakonikolas

University of Wisconsin–Madison United States of America

large-scale optimization

first-order optimization algorithms

machine learning

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Professor

Manuel Lopez-ibanez

University of Manchester United Kingdom

combinatorial optimisation

multi-objective optimisation

machine learning

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Professor

Mark Van Oyen

University of Michigan United States of America

stochastic optimization

online stochastic optimization

machine learning

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Professor

Kun Liang

University of Waterloo Canada

large-scale inference

high-dimensional statistics

machine learning

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Professor

Sid Banerjee

Cornell University Netherlands

large-scale systems

stochastic modeling

machine learning

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Professor

David Scheinker

Stanford University United States of America

mathematical optimization

probabilistic modeling

machine learning

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Professor

Zhe Zhang

Purdue University United States of America

stochastic optimization

distributed optimization

machine learning

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Professor

Michael Patriksson

University of Gothenburg Sweden

mathematical optimization

combinatorial optimization

stochastic mathematical programming

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Professor

Sujay Sanghavi

University of Texas at Austin United States of America

large-scale networking

high-dimensional data analysis

optimization algorithms

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Professor

Lei Ying

University of Michigan United States of America

large-scale computing systems

large-scale graph mining

large-scale communication systems

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Professor

Yaoliang Yu

University of Waterloo Canada

robust stochastic optimization

optimization algorithms

machine learning

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Professor

Reem Khir

Purdue University United States of America

robust stochastic optimization

machine learning

constrained optimization

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Professor

Viswanath Nagarajan

University of Michigan United States of America

stochastic optimization

machine learning

discrete optimization

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Professor

Ruiwei Jiang

University of Michigan United States of America

stochastic optimization

data-enabled stochastic optimization

discrete optimization

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