On-device research index

arXiv research

A locally-built, LLM-digested index of recent arXiv papers in quant finance, geometry/topology, and statistical ML — keyword search served straight from SQLite on this machine.

168,742 papers · 148 categories

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2 results for “XBART”

Stochastic tree ensembles for regularized nonlinear regressionstat.ML

Paper introduces XBART for nonlinear regression, outperforming XGBoost.

problem Nonlinear regression problems, especially in speed and accuracy.

method Combines Bayesian modeling and recursive partitioning for efficient, accurate predictions.

result XBART provides faster and more accurate predictions than XGBoost.

stochastic tree ensemble nonlinear regression XBART XGBoost Bayesian modeling

2020-02-09abs ↗pdf ↗

XBART: Accelerated Bayesian Additive Regression Treesstat.ML

Bayesian additive regression trees (BART) (Chipman et. al., 2010) is a powerful predictive model that often outperforms alternative models at out-of-sample prediction. BART is especially well-suited to settings with unstructured predictor variables and substantial sources of unmeasured variation as is typical in the so…

2018-10-04abs ↗pdf ↗