Error Driven Learning Professors in Global

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Pieter Abbeel
University of California, Berkeley United States of America
imitation learning
reinforcement learning
deep learning
transfer learning
unsupervised learning
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Kurt Driessens
Maastricht University Netherlands
reinforcement learning
relational learning
machine learning
transfer learning
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Kurt Driessens
Maastricht University Netherlands
reinforcement learning
relational learning
machine learning
transfer learning
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Maryam Fazel
University of Washington United States of America
reinforcement learning
deep learning
machine learning
learning control
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Kilian Weinberger
Cornell University Netherlands
deep learning
machine learning
metric learning
resource efficient learning
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Kun Zhang
Carnegie Mellon University United States of America
deep learning
machine learning
causality-based learning
transfer learning
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Yuhong Guo
Carleton University Canada
representation learning
self-supervised learning
reinforcement learning
machine learning
zero-shot learning
unsupervised learning
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Yuhong Guo
Carleton University Canada
representation learning
self-supervised learning
reinforcement learning
machine learning
zero-shot learning
unsupervised learning
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C. Green
University of Wisconsin–Madison United States of America
human learning
motor learning
perceptual learning
depth learning
transfer learning
cognitive learning
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Natalie Zhao
Simon Fraser University Canada
learning from errors
error reporting
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Yee Teh
University of Oxford United Kingdom
probabilistic learning
deep learning
machine learning
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Lisa Delsignore
Yale University United States of America
test-enhanced learning
spaced learning
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Anthony Coache
Imperial College London United Kingdom
statistical learning
reinforcement learning
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Alexander Rakhlin
Massachusetts Institute of Technology United States of America
statistical learning
reinforcement learning
machine learning
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Susan Murphy
Harvard John Paulson School of Engineering and Applied Sciences United States of America
statistical learning
reinforcement learning
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Jason Klusowski
Princeton University United States of America
statistical learning
decision tree learning
deep learning
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Krishna Balasubramanian
University of California, Davis United States of America
statistical learning
deep learning
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Ying Ma
Brown University United States of America
statistical learning
deep learning
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Yuejie Chi
Yale University United States of America
statistical learning
data-driven decision making
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Dingxuan Zhou
University of Sydney Australia
learning theory
deep learning
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Sarath Anbil Parthipan
Université de Montréal Canada
reinforcement learning
deep learning
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