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Mathematically Robust Schemes
Mathematically Robust Schemes Professors in Global
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Professor
Yaoliang Yu
University of Waterloo
Canada
robust stochastic optimization
robustness
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Professor
Philippe Gagnon
University of Montreal
Canada
robust statistical learning
statistical algorithms
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Professor
Stefano Ermon
Stanford University
United States of America
robust decision making
large-scale combinatorial optimization
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Professor
Mark French
King's College London
United Kingdom
adaptive robust control
mathematical systems theory
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Professor
Anastasia Muliana
Texas A&M University
United States of America
multi-scale analyses
flexible reconfigurable structures
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Professor
Michael Cantoni
University of Melbourne
Australia
robust control
mathematical systems theory
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Professor
Kosa Goucher-lambert
University of California, Berkeley
United States of America
mathematical analyses
computational modeling
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Professor
Professor
Stanford University
United States of America
logical modeling
computational modeling
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Professor
Gerard Gorman
Imperial College London
United Kingdom
multi-scale modeling
adaptive computational algorithms
multi-physics modeling
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Professor
Thomas Strohmer
University of California, Davis
United States of America
mathematical signal-image processing
numerical algorithms
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Professor
Tengyao Wang
London School of Economics
United Kingdom
robust statistical procedures
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Professor
Bruno Ribeiro
Purdue University
United States of America
robust invariant representations
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Professor
James Cutler
University of Michigan
United States of America
robust computing
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Professor
Subhasish Mitra
Stanford University
United States of America
robust computing
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Professor
Subhasish Mitra
Stanford University
United States of America
robust computing
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Professor
Muhammad Shafique
New York University Tandon School of Engineering
United States of America
robust computing
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Professor
Kyra Gan
Cornell University
Netherlands
robust statistical inference
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Professor
Sebastian Denzler
Friedrich-Alexander-Universität Erlangen-Nürnberg
Germany
robust bayesian optimization
distributionally robust optimization
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Professor
Joost-pieter Katoen
RWTH Aachen University
Germany
robust neural networks
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Professor
Michael Adams
University of Victoria
Canada
robust implementation algorithms
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Professor
Reem Khir
Purdue University
United States of America
robust stochastic optimization
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