Scalable Machine Learning Systems Professors in Global

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Vladimir Vlassov
KTH Royal Institute of Technology Sweden
scalable deep learning
large-scale distributed systems
machine learning
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Sham Kakade
Harvard University United States of America
scalable optimization algorithms
large-scale learning systems
scaling laws
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Steven Reece
University of Oxford United Kingdom
scalable human-agent computation
interpretable machine learning
machine learning
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Prasanth Nair
University of Toronto Institute for Aerospace Studies Canada
scalable numerical methods
machine learning
computational modeling
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Yisong Yue
California Institute of Technology United States of America
statistical machine learning
structured machine learning
machine learning
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Henrik Boström
KTH Royal Institute of Technology Sweden
explainable machine learning
trustworthy machine learning
probabilistic machine learning
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Yingzhen Li
Imperial College London United Kingdom
explainable machine learning
machine learning
probabilistic machine learning
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Mohamed Abdelfattah
Cornell Tech United States of America
automated machine learning
deep learning systems
reconfigurable computing
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Molei Tao
Georgia Institute of Technology United States of America
dynamical systems machine learning
machine learning
probabilistic machine learning
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Hina Shaheen
University of Manitoba Canada
statistical machine learning
machine learning
computational modelling
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Moez Ali
Queen's University Canada
automated machine learning
machine learning
automated modeling
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Mohamed Abdelfattah
Cornell University Netherlands
automated machine learning
machine learning
reconfigurable computing
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Line Clemmensen
University of Copenhagen Denmark
explainable modeling
machine learning
statistical modeling
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Sophia Wilson
University of Copenhagen Denmark
resource efficient machine learning
machine learning
data efficient machine learning
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Arash Arami
University of Waterloo Canada
wearable systems
intelligent systems
machine learning
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Ming Liu
University of Wisconsin–Madison United States of America
programmable networks
robust networked systems
efficient networked systems
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Yexiang Xue
Purdue University United States of America
computational sustainability
machine learning
statistical modeling
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Marios Polycarpou
Imperial College London United Kingdom
machine learning
adaptive learning control systems
intelligent systems networks
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Kamal Hossain
University of Melbourne Australia
machine learning
statistical modeling
computational modeling
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Jingrong Wang
Memorial University of Newfoundland Canada
scalable machine learning systems
distributed machine learning
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Tahsin Reza
University of Waterloo Canada
scalable machine learning
large-scale data systems
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