Algorithmic Learning Professors in Global

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Pascal Vincent
University of Montreal Canada
algorithmics
machine learning
artificial intelligence
deep learning
representation learning
neural networks
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University of Sherbrooke Canada
No active positions
algorithms
machine learning
artificial intelligence
deep learning
reinforcement learning
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Tahereh Koohi
University of New South Wales Australia
machine learning
artificial intelligence
deep learning
evolutionary algorithms
neural networks
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Brokoslaw Laschowski
University of Toronto Canada
machine learning
artificial intelligence
deep learning
neural networks
reinforcement learning
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Honglak Lee
University of Michigan United States of America
machine learning
artificial intelligence
large-scale learning
deep learning
representation learning
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Yuhong Guo
Carleton University Canada
machine learning
artificial intelligence
representation learning
reinforcement learning
self-supervised learning
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Michael Kearns
University of Pennsylvania United States of America
algorithmic game theory
algorithmic trading
machine learning
artificial intelligence
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Michael Kearns
University of Pennsylvania United States of America
algorithmic game theory
algorithmic trading
machine learning
artificial intelligence
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Peter Mcmahon
Cornell University Netherlands
algorithms
statistical learning
machine learning
artificial intelligence
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Yoshua Bengio
University of Montreal Canada
statistical learning algorithms
machine learning
artificial intelligence
deep learning
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Kevin Leyton-brown
University of British Columbia Canada
algorithmic game theory
algorithms
machine learning
artificial intelligence
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Linus Ericsson
University of Glasgow United Kingdom
automated machine learning
machine learning
artificial intelligence
representation learning
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Yee Teh
University of Oxford United Kingdom
probabilistic learning
machine learning
deep learning
large scale machine learning
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Martin Mueller
University of Alberta Canada
algorithms
machine learning
artificial intelligence
reinforcement learning
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Cara Macnish
University of Western Australia Australia
machine learning
artificial neural networks
artificial intelligence
evolutionary algorithms
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Moez Ali
Queen's University Canada
automated machine learning
machine learning
artificial intelligence
automated modeling
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Nicolas Bourguignon
RWTH Aachen University Germany
statistical learning
machine learning
artificial intelligence
neural networks
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John Doe
New York University United States of America
machine learning
algorithm optimization
artificial intelligence
deep learning
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Thomas Schön
Uppsala University Sweden
machine learning
artificial intelligence
deep learning
decision-making algorithms
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Maryam Fazel
University of Washington United States of America
machine learning
artificial intelligence
deep learning
reinforcement learning
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Una-may O’reilly
Massachusetts Institute of Technology United States of America
machine learning
adversarial learning
artificial intelligence
evolutionary algorithms
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