canonical correlation analysis 1gradient-boosted trees 1interpretability 1multiview learning 1tabular data 1
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cs.LG2026
TreeCCA: Canonical Correlation Analysis via Gradient-Boosted Trees
James Chapman
TreeCCA introduces a method to train gradient-boosted tree ensembles as end-to-end CCA encoders using an Eckart‑Young loss, achieving nonlinear correlation extraction with native i…
cs.LG2024
Unconstrained Stochastic CCA: Unifying Multiview and Self-Supervised Learning
James Chapman, Lennie Wells, Ana Lawry Aguila
The Canonical Correlation Analysis (CCA) family of methods is foundational in multiview learning. Regularised linear CCA methods can be seen to generalise Partial Least Squares (PL…