Deployable Machine Learning Professors in Global

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Yisong Yue
California Institute of Technology United States of America
machine learning
statistical machine learning
structured machine learning
interactive machine learning
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Molei Tao
Georgia Institute of Technology United States of America
machine learning
probabilistic machine learning
dynamical systems machine learning
deep learning theory
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Mehrdad Mahdavi
Pennsylvania State University United States of America
large-scale machine learning
deep learning
computational statistical machine learning
distributed optimization
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Geoff Webb
Monash University Australia
machine learning
scalable learning
interactive machine learning
ensemble machine learning
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Pranav Bapat
Maastricht University Netherlands
machine learning
deep learning
scalable ai architectures
cloud-native deployments
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Naveed Akhtar
University of Western Australia Australia
machine learning
deep learning
explainable artificial intelligence
adversarial machine learning
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Jingrong Wang
Memorial University of Newfoundland Canada
distributed machine learning
scalable machine learning systems
decentralized learning
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Henrik Boström
KTH Royal Institute of Technology Sweden
trustworthy machine learning
explainable machine learning
probabilistic machine learning
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Vladimir Vlassov
KTH Royal Institute of Technology Sweden
scalable deep learning
machine learning
applied artificial intelligence
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Yingzhen Li
Imperial College London United Kingdom
explainable machine learning
machine learning
probabilistic machine learning
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Moez Ali
Queen's University Canada
automated machine learning
machine learning
automated modeling
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Sophia Wilson
University of Copenhagen Denmark
data efficient machine learning
machine learning
resource efficient machine learning
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Saikat Chatterjee
Royal Institute of Technology Sweden
explainable machine learning
statistical machine learning
deep learning
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Yalan Song
Pennsylvania State University United States of America
differentiable modeling
machine learning
predictive modeling
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Nathaniel Bastian
Pennsylvania State University United States of America
machine learning
deep learning
federated machine learning
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Mohamed Abdelfattah
Cornell University Netherlands
automated machine learning
machine learning
reconfigurable computing
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Ligang He
University of Warwick United Kingdom
machine learning
deep learning
distributed computing
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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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Geoff Pleiss
University of British Columbia Canada
machine learning
probabilistic machine learning
reliable deep learning
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Aristide Akem
University of Southampton United Kingdom
applied machine learning
machine learning
programmable networking
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Daniel Ortiz Arroyo
Aalborg University Denmark
machine learning
deep learning
distributed computing
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