Probabilistic Inference Professors in Global

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Wei Zhang
University of Sydney Australia
probability density estimation
likelihood approximation
statistical modelling
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Rajesh Ranganath
New York University United States of America
probabilistic inference
statistical inference
causal inference
machine learning
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Uta Noppeney
Radboud University Netherlands
probabilistic computations
perceptual inference
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Shin Oblander
University of British Columbia Canada
probabilistic machine learning
causal inference
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Thomas Icard
Stanford University United States of America
probabilistic reasoning
causal inference
machine learning
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Guanyu Hu
Michigan State University United States of America
big data inference
causal inference
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David Parker
University of Oxford United Kingdom
probabilistic verification
probabilistic model checking
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Kolyan Ray
Imperial College London United Kingdom
causal inference
variational inference
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Theo Damoulas
University of Warwick United Kingdom
probabilistic machine learning
approximate inference methodologies
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Junyang Wang
Imperial College London United Kingdom
variational inference
probabilistic numerics
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Benjamin Bloem-reddy
University of British Columbia Canada
inference
probabilistic approaches
machine learning
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Kemal Büyükkurt
Concordia University Canada
probabilistic choice models
probabilistic decision support systems
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Nick Whiteley
University of Bristol United Kingdom
statistical inference
probabilistic modelling
bayesian modelling
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Ferenc Huszár
University of Cambridge United Kingdom
causal inference
probabilistic foundations
machine learning
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Sonia Grandi
University of Toronto Canada
causal inference
prediction modeling
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Andrew Casey
Monash University Australia
inference
probabilistic graphical models
machine learning
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Ilya Shpitser
Johns Hopkins University United States of America
causal inference
semi-parametric inference
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Ilya Shpitser
Johns Hopkins University United States of America
causal inference
semi-parametric inference
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Elias Bareinboim
Purdue University United States of America
causal inference
counterfactual inference
machine learning
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Shishir Rao
University of Oxford United Kingdom
causal inference
risk prediction
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Jane-ling Wang
University of California, Davis United States of America
causal inference
conformal inference
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