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High-Dimensional Causal Discovery: Learning from Inverse Covariance via Independence-based Decomposition.
Shuyu Dong
Kento Uemura
Akito Fujii
Shuang Chang
Yusuke Koyanagi
Koji Maruhashi
Michèle Sebag
Published in:
CoRR (2022)
Keyphrases
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causal discovery
high dimensional
learning process
learning algorithm
information retrieval
feature selection
computational complexity
data analysis
active learning
dynamic programming
dimensionality reduction
covariance matrix
causal structure