Large Scale Simultaneous Inference Professors in Global

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Hina Shaheen
University of Manitoba Canada
multivariate high dimensional data analysis
statistical machine learning
bayesian inference
machine learning
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Raaz Dwivedi
Cornell University Netherlands
high-dimensional statistics
statistical machine learning
bayesian inference
causal inference
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Guang Lin
Purdue University United States of America
big data analysis
stochastic multiscale modeling
statistical machine learning
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Guang Lin
Purdue University United States of America
big data analysis
stochastic multiscale modeling
statistical machine learning
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Mingyuan Zhou
University of Texas at Austin United States of America
approximate inference
deep neural networks
probabilistic machine learning
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Ricardo Silva
University College London United Kingdom
relational inference
bayesian inference
machine learning
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Ricardo Silva
University College London United Kingdom
relational inference
bayesian inference
machine learning
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Ben Moews
University of Edinburgh United Kingdom
high-dimensional statistics
bayesian inference
machine learning
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Melih Kandemir
University of Southern Denmark Denmark
deep neural networks
bayesian inference
machine learning
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Rajesh Ranganath
New York University United States of America
probabilistic inference
statistical inference
deep generative modeling
machine learning
causal inference
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Ning Yang
Cornell University Netherlands
high-dimensional statistics
machine learning
causal inference
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Wen Zhou
New York University United States of America
high-dimensional statistics
machine learning
causal inference
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Dennis Shen
University of Southern California United States of America
high-dimensional statistics
machine learning
causal inference
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Ayesha Ali
University of Guelph Canada
high-dimensional statistics
machine learning
causal inference
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Bryon Aragam
University of Chicago Booth School of Business United States of America
probabilistic modeling
statistical machine learning
deep generative models
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Yixin Wang
University of Michigan United States of America
probabilistic generative modeling
machine learning
causal inference
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Danica Sutherland
University of British Columbia Canada
statistical machine learning
machine learning
theoretical machine learning
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Abhishek Chakrabortty
Texas A&M University United States of America
statistical inference
bayesian inference
machine learning
causal inference
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Romain Lopez
New York University United States of America
machine learning
deep generative models
causal inference
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Xuewen Lu
University of Calgary Canada
big data analysis
high-dimensional data analysis
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Julia Gaudio
Northwestern University United States of America
network inference
high-dimensional probability
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