Efficient Machine Learning Professors in Global

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Nathaniel Bastian
Pennsylvania State University United States of America
machine learning
deep learning
federated machine learning
robust learning
optimization
intelligent systems
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Yisong Yue
California Institute of Technology United States of America
machine learning
interactive machine learning
statistical machine learning
structured machine learning
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Molei Tao
Georgia Institute of Technology United States of America
machine learning
probabilistic machine learning
optimization
dynamical systems machine learning
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Nathan Kallus
Cornell University Netherlands
machine learning
robust optimization
optimization
stochastic optimization
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Honglak Lee
University of Michigan United States of America
machine learning
deep learning
optimization
large-scale learning
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Sophia Wilson
University of Copenhagen Denmark
data efficient machine learning
resource efficient machine learning
machine learning
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Jiaqi Gu
Arizona State University China
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efficient algorithm
efficient ai hardware design
energy-efficient computing
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Fanghui Liu
University of Warwick United Kingdom
learning efficiency
machine learning
trustworthy machine learning
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Geoff Pleiss
University of British Columbia Canada
reliable deep learning
machine learning
probabilistic machine learning
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Kilian Weinberger
Cornell University Netherlands
machine learning
resource efficient learning
deep learning
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Flora Salim
University of New South Wales Australia
robust machine learning
trustworthy machine learning
multimodal machine learning
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Yee Teh
University of Oxford United Kingdom
machine learning
large scale machine learning
deep learning
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Gabriel Vigliensoni
Concordia University Canada
machine learning
interactive machine learning
creative machine learning
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Moez Ali
Queen's University Canada
automated machine learning
machine learning
automated modeling
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Geoff Webb
Monash University Australia
machine learning
interactive machine learning
ensemble machine learning
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George Amvrosiadis
Carnegie Mellon University United States of America
machine learning
scalable machine learning
high performance computing
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Holger Hoos
RWTH Aachen University Germany
automated machine learning
machine learning
optimization
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Yisong Yue
California Institute of Technology United States of America
interactive machine learning
statistical machine learning
structured machine learning
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R Bahar
Brown University United States of America
robust machine learning
reliable computing
energy-efficient computing
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Mohsen Amiri
Stockholm University Sweden
machine learning
deep learning
optimization
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Aboelmagd Noureldin
Queen's University Canada
deep learning
machine intelligence
machine vision
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