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Introduction on Modeling Complex Data With Deep Gaussian Processes
This talk will discuss a newly introduced family of Bayesian approaches aiming at combining the structural advantages of Uncertainty quantification (UQ) employs theoretical, numerical and computational tools to characterise uncertainty. This talk by Yuxin Zhao, Ericsson Research presents the paper " Neil Lawrence is a Professor of Machine Learning at the University of Sheffield, but he is currently on leave at Amazon where he ... The machine learning consultancy: Join my email list to get educational and useful articles (and nothing else!) Machine Learning Tutorial at Imperial College London:
Bayesian methods are front and center in this episode featuring Alex Andorra, co-founder of PyMC Labs. Alex sits down with ...
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Modeling Complex Data with Deep Gaussian Processes
Easy introduction to gaussian process regression (uncertainty models)
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Deep Gaussian Processes for Bayesian Inversion: Matt Dunlop, Courant
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Last Updated: May 25, 2026
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