Machine Learning Inference Professors in Global

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Rajesh Ranganath
New York University United States of America
probabilistic inference
statistical inference
machine learning
causal inference
deep generative modeling
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George Azzopardi
University of Groningen Netherlands
machine learning
pattern recognition
deep learning
predictive analysis
data mining
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Abhishek Chakrabortty
Texas A&M University United States of America
statistical inference
machine learning
bayesian inference
causal inference
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Dae Ham
University of Michigan United States of America
randomization inference
causal inference
adaptive sequential inference
design-based causal inference
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Hina Shaheen
University of Manitoba Canada
machine learning
bayesian inference
statistical machine learning
computational modelling
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Yee Teh
University of Oxford United Kingdom
machine learning
large scale machine learning
deep learning
probabilistic learning
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Mogana Ganggayah
Monash University Australia
machine learning
predictive modeling
deep learning
data mining
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James Green
Carleton University Canada
machine intelligence
machine vision
pattern classification
data mining
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Gerasimos Spanakis
Maastricht University Netherlands
machine learning
deep learning
computational modeling
data mining
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Mehrdad Mahdavi
Pennsylvania State University United States of America
large-scale machine learning
deep learning
computational statistical machine learning
computational learning theory
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Jordan Awan
Purdue University United States of America
statistical inference
machine learning
simulation-based inference
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Jaehee Kim
Cornell University Netherlands
statistical inference
machine learning
bayesian inference
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Ricardo Silva
University College London United Kingdom
relational inference
machine learning
bayesian inference
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Mohammad Anam Khan
University of Toronto Canada
statistical inference
machine learning
causal inference
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Victor Veitch
University of Chicago United States of America
statistical inference
machine learning
causal inference
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Ricardo Silva
University College London United Kingdom
relational inference
machine learning
bayesian inference
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Jessica Sorrell
Johns Hopkins University United States of America
machine learning
machine learning theory
machine learning algorithms
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Sara Wade
University of Edinburgh United Kingdom
machine learning
map inference
variational inference
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Daniel Malinsky
Columbia University United States of America
machine learning
semiparametric inference
causal inference
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Anthony Bonner
University of Toronto Canada
machine learning
logical inference
machine vision
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Anthony Bonner
University of Toronto Canada
machine learning
logical inference
machine vision
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