Statistical Learning Theory Professors in Global

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Yuhong Guo
Carleton University Canada
self-supervised learning
representation learning
reinforcement learning
semi-supervised learning
machine learning
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Yuxin Chen
University of Pennsylvania United States of America
statistical machine learning
machine learning theory
reinforcement learning
information theory
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Nihar Shah
Carnegie Mellon University United States of America
statistical learning
information theory
game theory
machine learning
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Ismaila Ba
University of Toronto Canada
statistical inference
statistical computing
theoretical statistics
spatial statistics
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Yichen Zhang
Purdue University United States of America
statistical models
statistical inference
multi-task learning
reinforcement learning
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Amir Dembo
Stanford University United States of America
statistical inference
statistical mechanics
probability theory
information theory
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Galen Reeves
Duke University Singapore
statistical inference
statistical signal processing
information theory
machine learning
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Nazim Khan
University of Western Australia Australia
statistical computing
stochastic modelling
statistical model selection
statistical clustering
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Daniel Lawson
University of Bristol United Kingdom
statistical analysis
statistical genetics
statistical methods
game theory
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Dabao Zhang
Purdue University United States of America
statistical inference
statistical genetics
decision theory
machine learning
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Gennady Samorodnitsky
Cornell University Netherlands
statistical analysis
stochastic modeling
probability theory
machine learning
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Chris Holmes
University of Oxford United Kingdom
statistical genetics
statistical genomics
stochastic simulation
spatial statistics
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Sigurd Assing
University of Warwick United Kingdom
stochastic analysis
statistical mechanics
probability theory
machine learning
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Semih Cayci
RWTH Aachen University Germany
deep learning theory
optimization theory
reinforcement learning
machine learning
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Serdar Yuksel
Queen's University Canada
stochastic control theory
probability theory
reinforcement learning
information theory
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Yun Cheung
Australian National University Australia
stochastic analysis
social choice theory
game theory
machine learning
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Ralf Peeters
Maastricht University Netherlands
statistical parameter estimation
decision theory
machine learning
systems control theory
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Jiaming Xu
Duke University Singapore
stochastic systems
information theory
game theory
machine learning
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Mehrdad Mahdavi
Pennsylvania State University United States of America
statistical learning theory
computational learning theory
computational statistical machine learning
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Pratheepa Jeganathan
McMaster University Canada
statistical learning
statistical theory
spatial statistics
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Richard Border
Carnegie Mellon University United States of America
statistical learning
statistical inference
statistical genetics
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