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Statistical Reinforcement Learning
Statistical Reinforcement Learning Professors in Global
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Professor
Pascal Poupart
University of Waterloo
Canada
reinforcement learning
self-supervised learning
machine learning
shot learning
causal learning
continual learning
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Professor
Yassine Yaakoubi
Concordia University
Canada
probabilistic machine learning
machine learning-augmented optimization
stochastic programming
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Professor
Jessica Sorrell
Johns Hopkins University
United States of America
machine learning
machine learning algorithms
machine learning theory
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Professor
Ange Nyamen Tato
Laval University
Canada
machine learning algorithms
learner behavior prediction
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Professor
Morgane Austern
Harvard University
United States of America
learning structured data
machine learning theory
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Professor
Agustinus Kristiadi
Western University
Canada
probabilistic machine learning
deep learning
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Professor
Xenia Miscouridou
Imperial College London
United Kingdom
statistical network modeling
bayesian statistical machine learning
deep learning
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Professor
Ayman Gh.
Australian National University
Australia
machine learning algorithms
deep learning
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Professor
Molei Tao
Georgia Institute of Technology
United States of America
machine learning
probabilistic machine learning
deep learning theory
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Professor
Stijn De Vuyst
Ghent University
Belgium
stochastic modeling
stochastic optimization
statistical techniques
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Professor
Ramandeep Randhawa
University of Southern California
United States of America
machine learning
stochastic modeling
deep learning
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Professor
Lisa Hellerstein
New York University Tandon School of Engineering
United States of America
machine learning theory
stochastic combinatorial optimization
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Professor
Chris De Sa
Cornell University
Netherlands
stochastic algorithms
deep learning
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Professor
Chris De Sa
Cornell University
Netherlands
stochastic algorithms
deep learning
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Professor
Iason Kokkinos
University College London
United Kingdom
weakly-supervised learning
deep learning
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Professor
Anan Du
University of New South Wales
Australia
weakly-supervised learning
deep learning
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Professor
Yuhong Guo
Carleton University
Canada
reinforcement learning
self-supervised learning
representation learning
machine learning
semi-supervised learning
continual learning
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Professor
Yuhong Guo
Carleton University
Canada
reinforcement learning
self-supervised learning
representation learning
machine learning
semi-supervised learning
continual learning
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Professor
Clément Hongler
École Polytechnique Fédérale de Lausanne
Switzerland
statistical mechanics
deep learning
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Professor
Klaus-robert Müller
Technical University of Berlin
Germany
machine learning
probabilistic machine learning
multimodal learning
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Professor
Klaus Müller
Technical University of Berlin
Germany
machine learning
probabilistic machine learning
multimodal learning
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