Discovering Latent Causal Variables via Mechanism Sparsity: A New Principle for Nonlinear ICA.
Sébastien LachapellePau Rodríguez LópezRémi Le PriolAlexandre LacosteSimon Lacoste-JulienPublished in: CoRR (2021)
Keyphrases
- causal relationships
- causal models
- independent component analysis
- independent components analysis
- causal relations
- causal structure
- bayesian networks
- independent components
- latent variables
- sparse representation
- observed variables
- source separation
- face recognition
- causal bayesian networks
- granger causality
- high dimensional
- causal graph
- causal discovery
- markov blanket
- structural model
- directed acyclic graph
- causal ordering
- hidden variables
- artificial neural networks
- principal component analysis
- nonlinear models
- piecewise linear
- factor analysis
- variable selection