Kernel Based Approximation Methods Professors in Global

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Felix Dietrich
Technical University of Munich Germany
kernel methods
data-driven approximations
numerical algorithms
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Ivan Kryven
Utrecht University Netherlands
random approximation algorithms
numerical methods
randomized algorithms
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Howell Tong
London School of Economics and Political Science United Kingdom
semi-parametric approaches
parametric methods
non-parametric methods
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Monique Laurent
Tilburg University Netherlands
algebraic methods
geometric methods
combinatorial methods
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Armin Iske
University of Hamburg Germany
kernel-based approximation methods
numerical approximation
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Heather Wilber
University of Washington United States of America
nonlinear approximation methods
approximation theory
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Harold Kushner
Brown University United States of America
approximation methods
optimization methods
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Chiheb Ben Hammouda
Utrecht University Netherlands
hierarchical approximation methods
numerical machine learning methods
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Gary Rosen
University of Southern California United States of America
numerical approximation methods
computational algorithms
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Siamak Mehrkanoon
Utrecht University Netherlands
kernel-based models
numerical algorithms
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David Bindel
Cornell University Netherlands
kernel methods
parallel algorithms
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Mohammad Salavatipour
University of Alberta Canada
approximation algorithms
hardness approximation
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Bei Jiang
University of Alberta Canada
kernel machine regression
kernel machine classification
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Feng Dai
University of Alberta Canada
approximation theory
nonlinear approximation
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Guergana Petrova
Texas A&M University United States of America
approximation theory
nonlinear approximation
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Danupon Na Nongkai
KTH Royal Institute of Technology Sweden
approximation algorithms
quantum algorithms
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Chao Tian
Texas A&M University United States of America
approximate approaches
computational approach
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Wei Zhang
University of Sydney Australia
computational methods
likelihood approximation
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Ben Adcock
Simon Fraser University Canada
approximation theory
numerical methods
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Monika Eisenmann
Lund University Sweden
numerical approximation
randomized algorithms
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Haziq Jamil
London School of Economics and Political Science United Kingdom
approximate bayesian methods
scalable estimation methods
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