RoBART: Bayesian Additive Regression Trees with Tree-Specific Rotations
arXiv:2610.10214v1 Announce Type: new Abstract: Bayesian additive regression trees (BART) can require many splits to approximate boundaries misaligned with the predictor axes. RoBART assigns each tree a rotation shared by all internal nodes, retaining axis-aligned splits in rotated coordinates and…
Read the full story at arXiv stat.ML ↗
Timeline · 1 report
- 2026-10-08 04:00 · arXiv stat.ML
RoBART: Bayesian Additive Regression Trees with Tree-Specific Rotations