Open AccessHow Good Are Low-Rank Approximations in Gaussian Process Regression?
Author(s) -
Constantinos Daskalakis,
Πέτρος Δελλαπόρτας,
Aristeidis Panos
Publication year - 2022
Publication title -
proceedings of the aaai conference on artificial intelligence
Language(s) - English
Resource type - Journals
eISSN - 2374-3468
pISSN - 2159-5399
DOI - 10.1609/aaai.v36i6.20598
Subject(s) - gaussian process , mathematics , kernel (algebra) , covariance , divergence (linguistics) , rank (graph theory) , kriging , gaussian , statistics , algorithm , combinatorics , physics , linguistics , philosophy , quantum mechanics
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