High Dimensional Regression Classification Professors in Global

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Jingmin Huang
University of Southampton United Kingdom
deep generative models
machine learning
deep learning
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Anna Choromanska
New York University Tandon School of Engineering United States of America
large data analysis
machine learning
deep learning
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Danica Sutherland
University of British Columbia Canada
statistical machine learning
theoretical machine learning
machine learning
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Saptarshi Chakraborty
University of Michigan United States of America
dimensionality reduction
machine learning
deep learning theory
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Nicolas Loizou
Johns Hopkins University United States of America
large-scale optimization
machine learning
deep learning
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Chuan He
Linköping University Sweden
large-scale optimization
machine learning
deep learning
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Qixing Huang
University of Texas at Austin United States of America
large-scale optimization
machine learning
deep learning
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Ali Ghodsi
University of Waterloo Canada
dimensionality reduction
machine learning
deep learning
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Brani Vidakovic
Texas A&M University United States of America
high frequency biomedical data
multiscale statistical modeling
statistical modeling
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Honglak Lee
University of Michigan United States of America
large-scale learning
machine learning
deep learning
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Samy Bengio
École Polytechnique Fédérale de Lausanne Switzerland
statistical machine learning
machine learning
deep learning
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Kin-choong Yow
University of Regina Canada
deep reinforcement learning
machine learning
deep learning
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Hina Shaheen
University of Manitoba Canada
multivariate high dimensional data analysis
statistical machine learning
machine learning
computational modelling
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Tsu-pei Chiu
University of Southern California United States of America
statistical machine learning
deep learning
high-throughput prediction of dna shape
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Guang Lin
Purdue University United States of America
statistical machine learning
big data analysis
predictive modeling
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Guang Lin
Purdue University United States of America
statistical machine learning
big data analysis
predictive modeling
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Ramandeep Randhawa
University of Southern California United States of America
machine learning
stochastic modeling
deep learning
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Magnus Röding
Chalmers University of Technology Sweden
machine learning
stochastic modeling
statistical modeling
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Line Clemmensen
Technical University of Denmark Denmark
machine learning
deep learning
statistical modeling
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Nicolas Le Roux
University of Montreal Canada
machine learning
deep learning
statistical modeling
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Edwin Wang
University of Calgary Canada
machine learning
deep learning
statistical modeling
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