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Learning Additive Exponential Family Graphical Models via \ell_{2, 1}-norm Regularized M-Estimation.
Xiao-Tong Yuan
Ping Li
Tong Zhang
Qingshan Liu
Guangcan Liu
Published in:
NIPS (2016)
Keyphrases
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graphical models
exponential family
probabilistic model
density estimation
approximate inference
markov networks
maximum likelihood
log likelihood
random variables
learning algorithm
belief propagation
probabilistic inference
bregman divergences
missing values
belief networks
closed form
hidden variables
conditional random fields
conditional independence
prior knowledge
pairwise
bayesian networks
machine learning
ell norm
learning problems
statistical models
mixture model
supervised learning
least squares
high dimensional
feature space