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GPSS2019 - Introduction to Gaussian Processes
#166 PTGP: A New Gaussian Process Library, with Bill Engels & Jesse Grabowski
Introduction to GPs by Neil Lawrence
GPSS2019 - State Space Methods for temporal GPs
GPSS2019 - Gaussian Processes and Non-Gaussian Likelihoods
Neil Lawrence: Bayesian GP-LVM and Deep GPs Part II
Deep Gaussian processes
GPSS2019 - Invariances in Gaussian processes and how to learn them
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Last Updated: October 3, 2026
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Summary
By Neil Lawrence from University of Sheffield. For more information please visit: gpss.cc/gpss19. By Carl Henrik Ek from the University of Bristol. For more information please visit: gpss.cc/gpss19. By Zhenwen Dai from Amazon Research Cambridge. For more information please visit: gpss.cc/gpss19. So um there's a question from felix uh i thought isotropy is only relevant for multi By Richard Wilkinson from the University of Sheffield. For more information, please visit gpss.cc/gpss19. Support & Resources → Support the show on Patreon: patreon.com/c/learnbayesstats → Bayesian Modeling Course ... By Arno Solin from Aalto University For more information please visit: gpss.cc/gpss19. By Alan Saul from PROWLER.io. For more information please visit: gpss.cc/gpss19. Isn't very interesting so these are samples from News uh neil lawrence who will be speaking to us today about By ST John and Mark Van der Wilk from PROWLER.io For more information please visit: gpss.cc//gpss19//workshop.html.