Imprecise Probabilistic Machine Learning Professors in Global

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Samir Maity
Aalborg University Denmark
imprecise modeling
predictive modeling
machine learning
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Tom Rainforth
University of Oxford United Kingdom
approximate inference
probabilistic programming
statistical machine learning
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Yee Teh
University of Oxford United Kingdom
probabilistic learning
large scale machine learning
machine learning
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Professorship Biometry Molecular Medicine
Ludwig Maximilian University of Munich Germany
prediction error estimation
machine learning
prediction modeling
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Justin Silverman
Pennsylvania State University United States of America
machine learning
partially identified models
model misspecification
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Michele Caprio
University of Manchester United Kingdom
imprecise probabilistic machine learning
machine learning
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Mingyuan Zhou
University of Texas at Austin United States of America
probabilistic machine learning
approximate inference
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Klaus Müller
Technical University of Berlin Germany
probabilistic machine learning
machine learning
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Molei Tao
Georgia Institute of Technology United States of America
probabilistic machine learning
machine learning
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Klaus-robert Müller
Technical University of Berlin Germany
probabilistic machine learning
machine learning
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Geoff Pleiss
University of British Columbia Canada
probabilistic machine learning
machine learning
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Magnus Ross
University College London United Kingdom
probabilistic machine learning
machine learning
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Yingzhen Li
Imperial College London United Kingdom
probabilistic machine learning
machine learning
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Paul Henderson
University of Glasgow United Kingdom
probabilistic machine learning
machine learning
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Roger Ghanem
University of Southern California United States of America
probabilistic multi-scale modeling
probabilistic modeling
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Roderick Murray-smith
University of Glasgow United Kingdom
probabilistic inference
machine learning
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Adji Dieng
Princeton University United States of America
probabilistic modeling
statistical machine learning
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Neil Lawrence
University of Cambridge United Kingdom
uncertainty in machine learning
machine learning
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Jean-yves Pitarakis
University of Southampton United Kingdom
predictive regressions
predictive accuracy testing
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Christoffer Back
University of Copenhagen Denmark
probabilistic inference
machine learning
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Bryon Aragam
University of Chicago Booth School of Business United States of America
probabilistic modeling
statistical machine learning
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