ECCAR reformulates sparse CCA as a Lasso-style regression on the identity matrix, yielding fast computation with proved error bounds and one-sided support recovery.
Title resolution pending
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
stat.ME 1years
2025 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
Efficient Canonical Correlation Analysis with Sparsity
ECCAR reformulates sparse CCA as a Lasso-style regression on the identity matrix, yielding fast computation with proved error bounds and one-sided support recovery.