High Dimensional Approximation Theory Professors in Global

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James Nichols
Australian National University Australia
high dimensional approximation theory
high dimensional statistics
approximation
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Debdeep Pati
University of Wisconsin–Madison United States of America
high dimensional network analysis
high-dimensional applications
hierarchical modeling
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Stuart Brown
University of California Los Angeles United States of America
quasi-two-dimensional systems
quasi-one-dimensional systems
dimensionality
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Wei-biao Wu
University of Chicago United States of America
high-dimensional inference
deep gaussian approximation
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Yanrong Yang
Australian National University Australia
high dimensional statistics
large dimensional random matrix theory
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Kun Liang
University of Waterloo Canada
high-dimensional statistics
large-scale inference
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Tony Cai
University of Pennsylvania United States of America
high-dimensional statistics
large-scale inference
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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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Frances Kuo
University of New South Wales Australia
high-dimensional numerical integration
approximation
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Nanwei Wang
University of New Brunswick Canada
high-dimensional data
large deviations theory
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Heather Wilber
University of Washington United States of America
approximation theory
nonlinear approximation methods
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Alexei Shadrin
University of Cambridge United Kingdom
approximation theory
shape-preserving approximation
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Cenk Pehlevan
Harvard University United States of America
high-dimensional statistics
deep learning theory
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Sanjeena Dang
Carleton University Canada
high-dimensional data
variational approximations
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Mehrdad Mahdavi
Pennsylvania State University United States of America
high-dimensional learning
large-scale optimization
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Kaixin Liu
London School of Economics and Political Science United Kingdom
high-dimensional time series
high-frequency time series
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Aswin Sankaranarayanan
Carnegie Mellon University United States of America
high-dimensional signals
low-dimensional models
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Jan Bauer
Vrije Universiteit Amsterdam Netherlands
high-dimensional data analysis
dimensionality reduction
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Konstantin Makarychev
Northwestern University United States of America
approximation algorithms
high-dimensional geometry in computer science
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Florentina Bunea
Cornell University Netherlands
high-dimensional statistical inference
estimation theory
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