Scalable Probabilistic Inference Professors in Global

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Da Zhao
University of Melbourne Australia
predictive modeling
statistical modeling
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Polina Golland
Massachusetts Institute of Technology United States of America
predictive modeling
statistical modeling
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Nan Zou
Macquarie University Australia
statistical inference for massive datasets
statistical inference for dynamical systems
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Amalie Andersen
Aalborg University Denmark
predictive modeling
explainable machine learning
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Filippo Ascolani
Duke University Singapore
statistical modeling
bayesian inference
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James Norris
University of Cambridge United Kingdom
statistical modeling
bayesian inference
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Line Clemmensen
University of Copenhagen Denmark
statistical modeling
explainable modeling
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Syed Haider
Columbia University United States of America
causal inference
predictive modeling
probability
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Rasmus Kragh Jørgensen
Aalborg University Denmark
statistical modeling
prognostic modeling
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Rayjean Hung
University of Toronto Canada
statistical modeling
risk prediction
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Brani Vidakovic
Texas A&M University United States of America
statistical modeling
multiscale statistical modeling
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Felix Weilacher
University of California, Berkeley United States of America
measurable combinatorics
computable combinatorics
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Manfred Kronz
Friedrich-Alexander-Universität Erlangen-Nürnberg Germany
statistical modeling
predictive analytics
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Saber Salehkaleybar
Leiden University Netherlands
statistical modeling
predictive analytics
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Minh Huynh
Monash University Australia
statistical modeling
predictive analytics
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Erengul Dodd
University of Southampton United Kingdom
statistical modeling
prediction and inference
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Zoltán Szabó
London School of Economics and Political Science United Kingdom
scalable computation
statistical machine learning
bayesian inference
shape-constrained prediction
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Khader Khadraoui
Laval University Canada
statistical inference
high-dimensional probabilistic models
statistical theory modeling
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Yian Ma
University of California, San Diego United States of America
scalable inference methods
bayesian inference algorithms
sequential decision making
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Christina Lee Yu
Cornell University Netherlands
inference networks
sequential decision making
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Christina Lee Yu
Cornell University Netherlands
causal inference
inference networks
sequential decision making
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