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Probabilistic Randomized Algorithms
Probabilistic Randomized Algorithms Professors in Global
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Professor
Sahil Singla
Georgia Institute of Technology
United States of America
algorithms
stochastic optimization
online algorithms
algorithmic game theory
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Professor
Chaitanya Swamy
University of Waterloo
Canada
approximation algorithms
stochastic optimization
online algorithms
algorithmic game theory
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Professor
Chaitanya Swamy
University of Waterloo
Canada
approximation algorithms
stochastic optimization
online algorithms
algorithmic game theory
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Professor
Nicole Wein
University of Michigan
United States of America
parameterized algorithms
distributed algorithms
dynamic algorithms
online algorithms
distance-estimation algorithms
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Professor
James Spall
Johns Hopkins University
United States of America
stochastic optimization
stochastic systems
neural networks
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Professor
James Spall
Johns Hopkins University
United States of America
stochastic optimization
stochastic systems
neural networks
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Professor
Eugene Wong
University of California, Berkeley
United States of America
optimization algorithms
stochastic processes
neural networks
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Professor
David Eckman
Texas A&M University
United States of America
stochastic simulation
simulation-optimization algorithms
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Professor
Kalinda Ukanwa
University of Southern California
United States of America
algorithmic decision-making
algorithmic bias
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Professor
Raaz Dwivedi
Cornell University
Netherlands
statistical machine learning
random sampling
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Professor
Bruno Gächter
ZHAW Zurich University of Applied Sciences
Switzerland
algorithmic decision-making
predictive modeling
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Professor
George Papavassilopoulos
University of Southern California
United States of America
genetic algorithms
parallel algorithms
optimization algorithms
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Professor
Guang Lin
Purdue University
United States of America
statistical machine learning
predictive modeling
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Professor
Syed Ahmed
Brock University
Canada
statistical machine learning
predictive modeling
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Professor
Guang Lin
Purdue University
United States of America
statistical machine learning
predictive modeling
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Professor
Syed Ahmed
Brock University
Canada
statistical machine learning
predictive modeling
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Professor
Xiucai Ding
University of California, Davis
United States of America
stochastic optimization
randomized numerical linear algebra
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Professor
Michał Dereziński
University of Michigan
United States of America
stochastic optimization
randomized numerical linear algebra
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Professor
Milind Kulkarni
Purdue University
United States of America
parallelizing algorithms
optimizing algorithms
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Professor
Ton Dieker
Columbia University
United States of America
computer simulation algorithms
stochastic networks
random processes
predictive modeling
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Professor
Shixuan Zhang
Texas A&M University
United States of America
stochastic optimization
polynomial optimization
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