RoBART: Bayesian Additive Regression Trees with Tree-Specific Rotations

arXiv:2610.10214 · stat.ML, cs.LG, math.ST, stat.TH · Submitted 2026-10-07 · Read on arXiv

stat.ML, cs.LG, math.ST, stat.TH

Submitted: 2026-10-07

Updated: 2026-10-07

Terminology

• Accuracy — 2× in this paper · explained in 1 episode
• Adaptation — 2× in this paper · explained in 1 episode
• Admissibility — 2× in this paper · explained in 2 episodes
• Ambient Dimension — 2× in this paper · explained in 1 episode
• Benchmark — 2× in this paper · explained in 2 episodes
• alpha — 2× in this paper · explained in 1 episode
• Additive Decomposition — 1× in this paper · explained in 1 episode
• Approximation Bound — 1× in this paper · explained in 1 episode
• Bayesian Inference — 1× in this paper · explained in 5 episodes
• Calibration — 1× in this paper · explained in 7 episodes
• Intrinsic Dimension — 1× in this paper · explained in 2 episodes
• Minimax optimality — 1× in this paper · explained in 2 episodes
• Redundancy — 1× in this paper · explained in 2 episodes
• Sparsity — 1× in this paper · explained in 4 episodes

Sources

• Scalable piecewise smoothing with BART

Related papers

• Behavior of prediction performance metrics with rare events
• Optimal Estimation of Generic Dynamics by Path-Dependent Neural Jump ODEs
• A Posterior-Dynamics Framework for Imaging Inverse Problems with Pretrained Diffusion Priors
• Efficient quadratic entropy with distance sketches
• Embedding-Bias in Conditional Independence Testing
• From Log-Odds to Shapley Values: An Explanatory Geometry for the Weighted Naive Bayes Classifier