Introduction to An Interpretable And Sample Efficient Deep Kernel For Gaussian Process
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An Interpretable And Sample Efficient Deep Kernel For Gaussian Process Comprehensive Overview
Seminar by Laurence Aitchison at the UCL Centre for AI. Recorded on the 12th May 2021. Abstract: Neural networks have taught ... By Nicolas Durrande from PROWLER.io. For more information please visit: gpss.cc/gpss19/ Each video is based on the corresponding subsection in my notes posted at ...
This lecture and tutorial introduces the
Summary & Highlights for An Interpretable And Sample Efficient Deep Kernel For Gaussian Process
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- Event: Second Symposium on Machine Learning and Dynamical Systems http://www.fields.utoronto.ca/activities/20-21/dynamical ...
- Presenters: Sebastian Ober and Austin Tripp (University of Cambridge) Abstract:
- Scalable Log Determinants for
- The video discusses the code to implement a
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