Scalable Deep Learning Professors in Global

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Bartolomeo Stellato
Princeton University United States of America
differentiable optimization
machine learning
large scale optimization
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Mohamed Abdelfattah
Cornell University Netherlands
automated machine learning
machine learning
reconfigurable computing
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Yisong Yue
California Institute of Technology United States of America
structured machine learning
statistical machine learning
machine learning
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Nicolas Loizou
Johns Hopkins University United States of America
deep learning
distributed decentralized algorithms
machine learning
large-scale optimization
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Hina Shaheen
University of Manitoba Canada
statistical machine learning
machine learning
computational modelling
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Danica Sutherland
University of British Columbia Canada
statistical machine learning
machine learning
theoretical machine learning
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Rasha Kashef
Toronto Metropolitan University Canada
distributed computing
machine learning
big data
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Aditya Akella
University of Texas at Austin United States of America
machine learning
programmable networks
big data
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Nicolas Loizou
Johns Hopkins University United States of America
machine learning
decentralized algorithms
large-scale optimization
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Wenchao Li
Boston University United States of America
dependable computing
machine learning
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Yuqi Gu
Columbia University United States of America
deep generative models
statistical machine learning
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Bryon Aragam
University of Chicago Booth School of Business United States of America
deep generative models
statistical machine learning
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Jingmin Huang
University of Southampton United Kingdom
deep learning
deep generative models
machine learning
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Arghya Bhowmik
Technical University of Denmark Denmark
deep generative models
machine learning
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Gustav Henter
KTH Royal Institute of Technology Sweden
deep generative models
machine learning
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Romain Lopez
New York University United States of America
deep generative models
machine learning
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Ga Wu
Dalhousie University Canada
deep generative models
machine learning
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Tushar Krishna
Georgia Institute of Technology United States of America
deep learning accelerators
reconfigurable computing
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Honglak Lee
University of Michigan United States of America
deep learning
large-scale learning
machine learning
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Moez Ali
Queen's University Canada
automated machine learning
machine learning
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Holger Hoos
RWTH Aachen University Germany
automated machine learning
machine learning
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