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Sampling-based inference for large linear models, with application to linearised Laplace.
Javier Antorán
Shreyas Padhy
Riccardo Barbano
Eric T. Nalisnick
David Janz
José Miguel Hernández-Lobato
Published in:
ICLR (2023)
Keyphrases
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linear models
variable selection
gaussian processes
machine learning
multi class
linear model
learning algorithm
bayesian networks
linear regression