Large Scale Learning Professors in Global

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Lei Ying
University of Michigan United States of America
large-scale computing systems
big data
large-scale communication systems
large-scale graph mining
reinforcement learning
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Honglak Lee
University of Michigan United States of America
large-scale learning
deep learning
machine learning
representation learning
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Yee Teh
University of Oxford United Kingdom
large scale machine learning
deep learning
machine learning
probabilistic learning
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Yiqiao Zhong
University of Wisconsin–Madison United States of America
large language models
deep learning
machine learning
self-supervised learning
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Hossein Hassani
Toronto Metropolitan University Canada
large language models
deep learning
machine learning
reinforcement learning
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Alexander Rakhlin
Massachusetts Institute of Technology United States of America
large language models
statistical learning
machine learning
reinforcement learning
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Nanwei Wang
University of New Brunswick Canada
large deviations theory
statistical learning
machine learning
high-dimensional data
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Qifan Song
Purdue University United States of America
massive data modeling
deep learning
machine learning
high dimensional data
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Pascal Vincent
University of Montreal Canada
deep learning
big data
machine learning
representation learning
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Nathaniel Bastian
Pennsylvania State University United States of America
deep learning
machine learning
big data analytics
robust learning
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Jason Lee
University of California, Berkeley United States of America
deep learning
machine learning
representation learning
reinforcement learning
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Kevin Luck
Vrije Universiteit Amsterdam Netherlands
deep learning
robot learning
deep reinforcement learning
reinforcement learning
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Jason Lee
University of California, Berkeley United States of America
deep learning
machine learning
representation learning
reinforcement learning
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Yuhong Guo
Carleton University Canada
machine learning
representation learning
reinforcement learning
self-supervised learning
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Yaoliang Yu
University of Waterloo Canada
machine learning
distributed learning
representation learning
generative modelling
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Ekta Vats
Uppsala University Sweden
large language models
deep learning
machine learning
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Nicolas Loizou
Johns Hopkins University United States of America
large-scale optimization
deep learning
machine learning
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Tianyu Guan
York University Canada
large language models
deep learning
machine learning
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Daniel Truhn
RWTH Aachen University Germany
large language models
deep learning
machine learning
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Chuan He
Linköping University Sweden
large-scale optimization
deep learning
machine learning
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Anna Choromanska
New York University Tandon School of Engineering United States of America
large data analysis
deep learning
machine learning
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