Variational Inference Professors in Global

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Rajesh Ranganath
New York University United States of America
statistical inference
probabilistic inference
causal inference
machine learning
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Abhishek Chakrabortty
Texas A&M University United States of America
statistical inference
causal inference
bayesian inference
machine learning
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Dae Ham
University of Michigan United States of America
causal inference
randomization inference
adaptive sequential inference
design-based causal inference
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Rina Foygel Barber
University of Chicago United States of America
statistical inference
shape-constrained inference
statistical estimation
conformal prediction
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Hina Shaheen
University of Manitoba Canada
bayesian inference
statistical machine learning
computational modelling
machine learning
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Kaisey Mandel
University of Cambridge United Kingdom
simulation-based inference
bayesian modelling
statistical computation
machine learning
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Laurence Frank
Utrecht University Netherlands
predictive modelling
statistical learning
machine learning
multivariate statistics
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Xinran Li
University of Chicago United States of America
causal inference
randomization-based inference
bayesian inference
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Mohammad Anam Khan
University of Toronto Canada
statistical inference
causal inference
machine learning
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Victor Veitch
University of Chicago United States of America
statistical inference
causal inference
machine learning
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Raaz Dwivedi
Cornell University Netherlands
causal inference
bayesian inference
statistical machine learning
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Richard Border
Carnegie Mellon University United States of America
statistical inference
bayesian inference
statistical learning
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Jordan Awan
Purdue University United States of America
statistical inference
simulation-based inference
machine learning
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Jaehee Kim
Cornell University Netherlands
statistical inference
bayesian inference
machine learning
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Nabarun Deb
University of Chicago Booth School of Business United States of America
statistical inference
nonparametric inference
statistical machine learning
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Ricardo Silva
University College London United Kingdom
relational inference
bayesian inference
machine learning
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Sabine Loos
University of Michigan United States of America
statistical inference
predictive modeling
statistical learning
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Ricardo Silva
University College London United Kingdom
relational inference
bayesian inference
machine learning
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Vanessa Mcnealis
University of Glasgow United Kingdom
causal inference
bayesian inference
hierarchical modelling
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Nick Whiteley
University of Bristol United Kingdom
statistical inference
probabilistic modelling
bayesian modelling
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Victor Panaretos
École Polytechnique Fédérale de Lausanne Switzerland
statistical inference
regression modeling
multivariate statistics
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