Scalable Machine Learning Professors in Global

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Yingzhen Li
Imperial College London United Kingdom
explainable machine learning
machine learning
probabilistic machine learning
generative modeling
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Yisong Yue
California Institute of Technology United States of America
statistical machine learning
structured machine learning
machine learning
interactive machine learning
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Molei Tao
Georgia Institute of Technology United States of America
machine learning
probabilistic machine learning
generative modeling
dynamical systems machine learning
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Geoff Webb
Monash University Australia
scalable learning
machine learning
interactive machine learning
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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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Henrik Boström
KTH Royal Institute of Technology Sweden
explainable machine learning
trustworthy machine learning
probabilistic machine learning
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Xi Chen
New York University United States of America
scalable systems
applied machine learning
statistical learning
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Saikat Chatterjee
Royal Institute of Technology Sweden
statistical machine learning
explainable machine learning
deep learning
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Pranav Bapat
Maastricht University Netherlands
scalable ai architectures
machine learning
deep learning
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Nanwei Wang
University of New Brunswick Canada
scalable likelihood methods
machine learning
statistical learning
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Moez Ali
Queen's University Canada
automated machine learning
machine learning
automated modeling
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Hina Shaheen
University of Manitoba Canada
statistical machine learning
machine learning
computational modelling
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Yisong Yue
California Institute of Technology United States of America
statistical machine learning
structured machine learning
interactive machine learning
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Mohamed Abdelfattah
Cornell University Netherlands
automated machine learning
machine learning
reconfigurable computing
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Hamid Alinejad-rokny
University of New South Wales Australia
statistical machine learning
machine learning
biomedical machine learning
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Yee Teh
University of Oxford United Kingdom
large scale machine learning
machine learning
deep learning
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Flora Salim
University of New South Wales Australia
trustworthy machine learning
robust machine learning
multimodal machine learning
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Yexiang Xue
Purdue University United States of America
machine learning
computational sustainability
statistical modeling
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Michael Alvarez
California Institute of Technology United States of America
machine learning
statistical computational modeling
deep learning
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Shai Ben-david
University of Waterloo Canada
machine learning
reliability in machine learning
interpretability in machine learning
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