Least-squares independence regression for non-linear causal inference under non-Gaussian noise.

Makoto Yamada Masashi Sugiyama Jun Sese

Published in: Mach. Learn. (2014)

Keyphrases

causal inference
least squares
additive noise
noisy images
causal models
spatial domain
discrete data
abductive reasoning
random variables
maximum likelihood
non stationary
conditional independence
parameter estimation
frequency domain
speech signal
model selection
active learning
rare events
hidden markov models