Stochastic Disturbance Models Professors in Global

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Bryon Aragam
University of Chicago Booth School of Business United States of America
statistical machine learning
latent variable models
probabilistic modeling
statistical learning theory
deep generative models
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Kai Brüssau
University of Hamburg Germany
regression models
large language models
classification models
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Roger Ghanem
University of Southern California United States of America
probabilistic modeling
probabilistic multi-scale modeling
computational stochastic mechanics
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Roger Ghanem
University of Southern California United States of America
probabilistic modeling
probabilistic multi-scale modeling
computational stochastic mechanics
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Frederi Viens
Michigan State University United States of America
stochastic control
stochastic pdes
stochastic volatility
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Kiefer
Technical University of Berlin Germany
stochastic online scheduling
scheduling models
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Samuel Paskewitz
Yale University United States of America
computational models
bayesian latent variable models
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Camila De Souza
Western University Canada
mixed effect models
hierarchical mixture models
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Robin Evans
University of Oxford United Kingdom
latent variable models
multivariate statistical models
bayesian network models
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Joris Mooij
University of Amsterdam Netherlands
computational models
statistical learning
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Nikolai Kühne
Aalborg University Denmark
sequence modelling
large language models
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Eric Darve
Stanford University United States of America
large-language models
stochastic inversing
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James Martin
University of Oxford United Kingdom
fragmentation models
random growth models
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Marta Kryven
Dalhousie University Canada
computational models
large language models
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Rutger Hermsen
Utrecht University Netherlands
computational models
mathematical modeling
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Jiawei Li
University of Edinburgh United Kingdom
probabilistic stochastic methods
stochastic partial differential equations
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Eric Xing
Carnegie Mellon University United States of America
probabilistic modeling
statistical learning
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Yongjin Park
University of British Columbia Canada
probabilistic modeling
statistical learning
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J.george Shanthikumar
Purdue University United States of America
model uncertainty learning
simulation stochastic processes
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Nathan Srebro
University of Chicago United States of America
probabilistic modeling
statistical learning theory
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René Carmona
Princeton University United States of America
stochastic analysis
stochastic control
large stochastic differential games
stochastic partial differential equations
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