Model Uncertainty Learning Professors in Global

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Samir Maity
Aalborg University Denmark
uncertainty quantification
predictive modeling
machine learning
deep learning
language modeling
imprecise modeling
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Giorgia Ramponi
University of Zurich Switzerland
mathematical modeling
reinforcement learning
machine learning
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Joakim Munkhammar
Uppsala University Sweden
mathematical modeling
statistical modeling
machine learning
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Federico Bocci
Radboud University Netherlands
mathematical modeling
machine learning
deep learning
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Jonathan Shapiro
University of Manchester United Kingdom
probabilistic modeling
reinforcement learning
machine learning
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Thang Bui
Australian National University Australia
probabilistic modeling
reinforcement learning
machine learning
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Yee Teh
University of Oxford United Kingdom
probabilistic learning
machine learning
deep learning
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Chad Williams
University of Victoria Canada
computational modelling
reinforcement learning
machine learning
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Helene Thomsen
Aarhus University Denmark
prediction modeling
machine learning
deep learning
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Kamal Hossain
University of Melbourne Australia
computational modeling
statistical modeling
machine learning
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Kevin Luck
Vrije Universiteit Amsterdam Netherlands
robot learning
reinforcement learning
deep reinforcement learning
deep learning
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Petar Kormushev
Imperial College London United Kingdom
reinforcement learning
robot learning algorithms
machine learning
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Da Zhao
University of Melbourne Australia
statistical modeling
predictive modeling
machine learning
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Yangchen Pan
University of Oxford United Kingdom
reinforcement learning
machine learning
deep learning
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Sidney Givigi
Queen's University Canada
reinforcement learning
machine learning
deep learning
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Hongyang Dong
University of Warwick United Kingdom
reinforcement learning
machine learning
deep learning
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Mohsen Amiri
Stockholm University Sweden
reinforcement learning
machine learning
deep learning
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Tal Kachman
Radboud University Netherlands
reinforcement learning
machine learning
deep learning
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University of Sherbrooke Canada
No active positions
reinforcement learning
machine learning
deep learning
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Jason Lee
University of California, Berkeley United States of America
reinforcement learning
representation learning
machine learning
deep learning
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Volkan Cevher
École Polytechnique Fédérale de Lausanne Switzerland
reinforcement learning
machine learning
deep learning
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