Predictable Machine Learning Professors in Global

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Nikolay Malkin
University of Edinburgh United Kingdom
machine reasoning
bayesian machine learning
probabilistic reasoning
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Varun Kanade
University of Oxford United Kingdom
computational learning
randomised algorithms
deep learning
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Mark Winands
Maastricht University Netherlands
machine reasoning
adaptive algorithms
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Hongpeng Zhou
University of Manchester United Kingdom
machine learning
interpretable learning
deep learning
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David Inouye
Purdue University United States of America
trustworthy machine learning
robust machine learning
causal machine learning
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Michael Sternberg
Imperial College London United Kingdom
function prediction
protein structure prediction
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Sitan Chen
Harvard University United States of America
algorithmic learning
generative modeling
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Erik Larsson
Linköping University Sweden
predictive spatio-temporal models
probabilistic models
deep learning
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Max Welling
University of Amsterdam Netherlands
machine learning
probabilistic models
deep learning
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Saurabh Sinha
Georgia Institute of Technology United States of America
machine learning
probabilistic models
deep learning
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Aaron Courville
University of Montreal Canada
machine learning
probabilistic models
deep learning
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Daniel Roy
University of Toronto Canada
No active positions
machine learning
probabilistic programming
deep learning
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Tom Rainforth
University of Oxford United Kingdom
statistical machine learning
probabilistic programming
deep learning
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Serge Provost
Western University Canada
probabilistic models
statistical inference
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Felix Weilacher
University of California, Berkeley United States of America
computable combinatorics
measurable combinatorics
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Kristen Schell
Carleton University Canada
machine learning optimization
forecasting
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Eliezer Upfal
Brown University United States of America
randomized algorithms
probabilistic analysis
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Valerie King
University of Victoria Canada
randomized algorithms
probabilistic analysis
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Flora Salim
University of New South Wales Australia
trustworthy machine learning
robust machine learning
multimodal machine learning
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Jimeng Sun
University of Illinois United States of America
clinical predictive modeling
deep learning
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Zoltán Szabó
London School of Economics and Political Science United Kingdom
statistical machine learning
shape-constrained prediction
scalable computation
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