A non-asymptotic distributional theory of approximate message passing for sparse and robust regression.

Gen Li Yuting Wei

Published in: CoRR (2024)

Keyphrases

message passing
inference in graphical models
robust regression
belief propagation
distributed systems
probabilistic inference
graphical models
markov random field
approximate inference
linear regression
loopy belief propagation
factor graphs
object recognition
regression methods
image derivatives
sparse learning