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Found 3 papers, 1 papers with code
Sharded Bayesian Additive Regression Trees
In this paper we develop the randomized Sharded Bayesian Additive Regression Trees (SBT) model.
Using BART to Perform Pareto Optimization and Quantify its Uncertainties
This article proposes Pareto Front (PF) and Pareto Set (PS) estimation methods using Bayesian Additive Regression Trees (BART), which is a non-parametric model whose assumptions are typically less restrictive than popular alternatives, such as Gaussian Processes (GPs).
Sparse Additive Gaussian Process Regression
In this paper we introduce a novel model for Gaussian process (GP) regression in the fully Bayesian setting.
Statistics Theory Statistics Theory
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