Distributed Learning Professors in Global

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Kevin Luck
Vrije Universiteit Amsterdam Netherlands
deep learning
robot learning
deep reinforcement learning
reinforcement learning
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Mehrdad Mahdavi
Pennsylvania State University United States of America
distributed optimization
deep learning
computational learning theory
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Jason Klusowski
Princeton University United States of America
deep learning
statistical learning
decision tree learning
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Di Niu
University of Alberta Canada
networked distributed systems
statistical learning
applied machine learning
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Di Niu
University of Alberta Canada
networked distributed systems
statistical learning
applied machine learning
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James Aspnes
Yale University United States of America
distributed algorithms
distributed data structures
learning theory
security in distributed systems
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Nicholas Rhinehart
University of Toronto Canada
deep learning
imitation learning
robot learning
reinforcement learning
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Marc Gendron-bellemare
University of Montreal Canada
deep learning
reinforcement learning
online learning
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Arthur Galamba
King's College London United Kingdom
collaborative learning
online learning
hybrid learning
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Alexander Rakhlin
Massachusetts Institute of Technology United States of America
statistical learning
reinforcement learning
online learning
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Qingyun Wu
Pennsylvania State University United States of America
learning
automated machine learning
reinforcement learning
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Yuhong Guo
Carleton University Canada
federated learning
representation learning
self-supervised learning
semi-supervised learning
reinforcement learning
continual learning
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Yuhong Guo
Carleton University Canada
federated learning
representation learning
self-supervised learning
semi-supervised learning
reinforcement learning
continual learning
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Moira Maley
University of Western Australia Australia
video learning
experiential learning
transformative learning
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Hadi Jamali-rad
Delft University of Technology Netherlands
distributed optimization
deep learning
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Arya Mazumdar
University of California, San Diego United States of America
distributed optimization
statistical learning
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Lucas Buccafusca
Johns Hopkins University United States of America
distributed optimization
distributed control
learning
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Alex Olshevsky
Boston University United States of America
distributed optimization
reinforcement learning
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Siva Maguluri
Georgia Institute of Technology United States of America
distributed optimization
reinforcement learning
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Marie Maros
Texas A&M University United States of America
distributed computing
distributed optimization
statistical learning networks
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Mehrdad Mahdavi
Pennsylvania State University United States of America
distributed optimization
high-dimensional learning
online learning
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