Theory Of Machine Learning Professors in Global

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Daniel Roy
University of Toronto Canada
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machine learning
statistical learning theory
deep learning
decision theory
foundations of machine learning
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Mehrdad Mahdavi
Pennsylvania State University United States of America
computational learning theory
statistical learning theory
large-scale machine learning
deep learning
computational statistical machine learning
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Eilyan Bitar
Cornell University Netherlands
machine learning
game theory
information theory
control theory
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Ralf Peeters
Maastricht University Netherlands
machine learning
mathematical modelling
systems control theory
decision theory
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Yee Teh
University of Oxford United Kingdom
machine learning
large scale machine learning
deep learning
probabilistic learning
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Nihar Shah
Carnegie Mellon University United States of America
machine learning
game theory
information theory
statistical learning
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Cai Kui
Singapore University of Technology and Design Singapore
machine learning
information theory
coding theory
communication theory
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Kevin Tang
Cornell University Netherlands
optimization theory
game theory
information theory
control theory
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Philipp Hieronymi
University of Bonn Germany
model theory
automata theory
theoretical computer science
computability theory
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Jessica Sorrell
Johns Hopkins University United States of America
machine learning theory
machine learning
machine learning algorithms
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Yuxin Chen
University of Pennsylvania United States of America
machine learning theory
statistical machine learning
information theory
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Semih Cayci
RWTH Aachen University Germany
deep learning theory
machine learning
optimization theory
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Molei Tao
Georgia Institute of Technology United States of America
deep learning theory
machine learning
probabilistic machine learning
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Yun Cheung
Australian National University Australia
machine learning
theory of computation
game theory
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Oliver Schulte
Simon Fraser University Canada
machine learning
learning theory
computational game theory
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Aaron Roth
University of Pennsylvania United States of America
machine learning
learning theory
game theory
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Edoardo Manino
University of Manchester United Kingdom
theoretical machine learning
algorithmic game theory
bayesian machine learning
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Hina Shaheen
University of Manitoba Canada
machine learning
statistical machine learning
computational modelling
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Cyrille Jegourel
Singapore University of Technology and Design Singapore
machine learning
computing theory
game theory
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Wei Hu
University of Michigan United States of America
machine learning
theoretical foundations of machine learning
deep learning
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Sandra Zilles
University of Regina Canada
machine learning
computational learning theory
theoretical computer science
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