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GP-BART: a novel Bayesian additive regression trees approach using
  Gaussian processes

GP-BART: a novel Bayesian additive regression trees approach using Gaussian processes

5 April 2022
M. Maia
Keefe Murphy
Andrew C. Parnell
ArXivPDFHTML

Papers citing "GP-BART: a novel Bayesian additive regression trees approach using Gaussian processes"

4 / 4 papers shown
Title
Bayesian Decision Trees via Tractable Priors and Probabilistic
  Context-Free Grammars
Bayesian Decision Trees via Tractable Priors and Probabilistic Context-Free Grammars
Colin D. Sullivan
Mo Tiwari
Sebastian Thrun
Chris Piech
TPM
21
0
0
15 Feb 2023
Gaussian Process-Gated Hierarchical Mixtures of Experts
Gaussian Process-Gated Hierarchical Mixtures of Experts
Yuhao Liu
Marzieh Ajirak
Petar M. Djurić
MoE
16
1
0
09 Feb 2023
Bayesian additive regression trees for probabilistic programming
Bayesian additive regression trees for probabilistic programming
Miriana Quiroga
P. Garay
J. M. Alonso
J. M. Loyola
Osvaldo A. Martin
29
6
0
08 Jun 2022
ranger: A Fast Implementation of Random Forests for High Dimensional
  Data in C++ and R
ranger: A Fast Implementation of Random Forests for High Dimensional Data in C++ and R
Marvin N. Wright
A. Ziegler
113
2,735
0
18 Aug 2015
1