SLEIPNIR: Deterministic and Provably Accurate Feature Expansion for Gaussian Process Regression with Derivatives (Q6336177)
From MaRDI portal
| This is the item page for this Wikibase entity, intended for internal use and editing purposes. Please use this page instead for the normal view: SLEIPNIR: Deterministic and Provably Accurate Feature Expansion for Gaussian Process Regression with Derivatives |
preprint article from arXiv
| Language | Label | Description | Also known as |
|---|---|---|---|
| English | SLEIPNIR: Deterministic and Provably Accurate Feature Expansion for Gaussian Process Regression with Derivatives |
preprint article from arXiv |
Statements
5 March 2020
0 references
cs.LG
0 references
math.DS
0 references
stat.ML
0 references
Emmanouil Angelis
0 references
Philippe Wenk
0 references
Bernhard Schölkopf
0 references
Stefan Bauer
0 references
Andreas Krause
0 references