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BART: Bayesian additive regression trees
v1v2 (latest)

BART: Bayesian additive regression trees

19 June 2008
H. Chipman
E. George
R. McCulloch
ArXiv (abs)PDFHTML

Papers citing "BART: Bayesian additive regression trees"

50 / 396 papers shown
LLMs for Automated Unit Test Generation and Assessment in Java: The AgoneTest Framework
LLMs for Automated Unit Test Generation and Assessment in Java: The AgoneTest Framework
Andrea Lops
Fedelucio Narducci
Azzurra Ragone
Michelantonio Trizio
Claudio Bartolini
154
1
0
25 Nov 2025
An Infinite BART model
An Infinite BART model
Marco Battiston
Yu Luo
70
0
0
25 Nov 2025
Bayesian Semiparametric Causal Inference: Targeted Doubly Robust Estimation of Treatment Effects
Bayesian Semiparametric Causal Inference: Targeted Doubly Robust Estimation of Treatment Effects
Gözde Sert
Abhishek Chakrabortty
Anirban Bhattacharya
CML
227
1
0
19 Nov 2025
Bayesian Adaptive Polynomial Chaos Expansions
Bayesian Adaptive Polynomial Chaos Expansions
Kellin Rumsey
Devin Francom
Graham C. Gibson
J. D. Tucker
G. Huerta
64
0
0
28 Oct 2025
Testing-driven Variable Selection in Bayesian Modal Regression
Testing-driven Variable Selection in Bayesian Modal Regression
Jiasong Duan
Hongmei Zhang
Xianzheng Huang
114
0
0
27 Oct 2025
Doubly Robust Estimation of Causal Effects in Strategic Equilibrium Systems
Doubly Robust Estimation of Causal Effects in Strategic Equilibrium Systems
Sibo Xiao
153
0
0
17 Oct 2025
Navigating the Labyrinth: Path-Sensitive Unit Test Generation with Large Language Models
Navigating the Labyrinth: Path-Sensitive Unit Test Generation with Large Language Models
Dianshu Liao
Xin Yin
Shidong Pan
Chao Ni
Zhenchang Xing
Xiaoyu Sun
276
1
0
28 Sep 2025
Bayesian Semi-supervised Inference via a Debiased Modeling Approach
Bayesian Semi-supervised Inference via a Debiased Modeling ApproachEconometrics and Statistics (ES), 2025
Gözde Sert
Abhishek Chakrabortty
Anirban Bhattacharya
158
2
0
22 Sep 2025
The Honest Truth About Causal Trees: Accuracy Limits for Heterogeneous Treatment Effect Estimation
The Honest Truth About Causal Trees: Accuracy Limits for Heterogeneous Treatment Effect Estimation
M. D. Cattaneo
Jason M. Klusowski
Ruiqi Rae Yu
CML
159
1
0
14 Sep 2025
ORACLE: Explaining Feature Interactions in Neural Networks with ANOVA
ORACLE: Explaining Feature Interactions in Neural Networks with ANOVA
Dongseok Kim
Wonjun Jeong
Mohamed Jismy Aashik Rasool
Gisung Oh
276
0
0
13 Sep 2025
Probit Monotone BART
Probit Monotone BART
Jared D. Fisher
127
0
0
29 Aug 2025
Model-Agnostic Dynamic Feature Selection with Uncertainty Quantification
Model-Agnostic Dynamic Feature Selection with Uncertainty Quantification
Javier Fumanal-Idocin
Raquel Fernandez-Peralta
Javier Andreu-Perez
196
0
0
04 Aug 2025
Horseshoe Forests for High-Dimensional Causal Survival Analysis
Horseshoe Forests for High-Dimensional Causal Survival Analysis
Tijn Jacobs
Wessel N. van Wieringen
Stéphanie L. van der Pas
CML
275
0
0
29 Jul 2025
Estimating Treatment Effects with Independent Component Analysis
Estimating Treatment Effects with Independent Component Analysis
Patrik Reizinger
Lester Mackey
Wieland Brendel
Rahul Krishnan
CML
212
0
0
22 Jul 2025
LLM-Driven Treatment Effect Estimation Under Inference Time Text Confounding
LLM-Driven Treatment Effect Estimation Under Inference Time Text Confounding
Yuchen Ma
Dennis Frauen
Jonas Schweisthal
Stefan Feuerriegel
CML
252
3
0
03 Jul 2025
Bayesian Hybrid Machine Learning of Gallstone Risk
Bayesian Hybrid Machine Learning of Gallstone Risk
Chitradipa Chakraborty
Nayana Mukherjee
214
2
0
17 Jun 2025
A Diffusion-Based Method for Learning the Multi-Outcome Distribution of Medical Treatments
A Diffusion-Based Method for Learning the Multi-Outcome Distribution of Medical Treatments
Yuchen Ma
Jonas Schweisthal
Hengrui Zhang
Stefan Feuerriegel
OODCML
192
3
0
02 Jun 2025
TabPFN: One Model to Rule Them All?
TabPFN: One Model to Rule Them All?
Qiong Zhang
Yan Shuo Tan
Qinglong Tian
Pengfei Li
437
12
0
26 May 2025
Flow-based Generative Modeling of Potential Outcomes and Counterfactuals
Flow-based Generative Modeling of Potential Outcomes and Counterfactuals
Dongze Wu
David I. Inouye
Yao Xie
417
1
0
21 May 2025
Forests for Differences: Robust Causal Inference Beyond Parametric DiD
Forests for Differences: Robust Causal Inference Beyond Parametric DiD
Hugo Gobato Souto
Francisco Louzada Neto
225
0
0
14 May 2025
Extended Fiducial Inference for Individual Treatment Effects via Deep Neural Networks
Extended Fiducial Inference for Individual Treatment Effects via Deep Neural NetworksStatistics and computing (Stat. Comput.), 2025
Sehwan Kim
F. Liang
FedML
233
2
0
04 May 2025
Overview and practical recommendations on using Shapley Values for identifying predictive biomarkers via CATE modeling
Overview and practical recommendations on using Shapley Values for identifying predictive biomarkers via CATE modeling
David Svensson
Erik Hermansson
N. Nikolaou
Konstantinos Sechidis
Ilya Lipkovich
CML
286
0
0
02 May 2025
TSCAN: Context-Aware Uplift Modeling via Two-Stage Training for Online Merchant Business Diagnosis
TSCAN: Context-Aware Uplift Modeling via Two-Stage Training for Online Merchant Business Diagnosis
Hangtao Zhang
Zhe Li
Jianchao Tan
568
0
0
26 Apr 2025
Binary AddiVortes: (Bayesian) Additive Voronoi Tessellations for Binary Classification with an application to Predicting Home Mortgage Application Outcomes
Binary AddiVortes: (Bayesian) Additive Voronoi Tessellations for Binary Classification with an application to Predicting Home Mortgage Application Outcomes
Adam J. Stone
Emmanuel Ogundimu
John Paul Gosling
240
0
0
18 Mar 2025
H-AddiVortes: Heteroscedastic (Bayesian) Additive Voronoi Tessellations
H-AddiVortes: Heteroscedastic (Bayesian) Additive Voronoi Tessellations
Adam J. Stone
John Paul Gosling
199
1
0
17 Mar 2025
BARK: A Fully Bayesian Tree Kernel for Black-box Optimization
BARK: A Fully Bayesian Tree Kernel for Black-box Optimization
Toby Boyne
Jose Pablo Folch
Robert M. Lee
B. Shafei
Ruth Misener
GP
418
3
0
07 Mar 2025
Learning Conditional Average Treatment Effects in Regression Discontinuity Designs using Bayesian Additive Regression Trees
Learning Conditional Average Treatment Effects in Regression Discontinuity Designs using Bayesian Additive Regression Trees
Rafael Alcantara
P. R. Hahn
Carlos Carvalho
H. Lopes
CML
202
2
0
01 Mar 2025
From Small to Large Language Models: Revisiting the Federalist Papers
From Small to Large Language Models: Revisiting the Federalist Papers
So Won Jeong
Veronika Rockova
430
2
0
25 Feb 2025
Functional BART with Shape Priors: A Bayesian Tree Approach to Constrained Functional Regression
Functional BART with Shape Priors: A Bayesian Tree Approach to Constrained Functional Regression
Jiahao Cao
Shiyuan He
Bohai Zhang
255
2
0
24 Feb 2025
Treatment response as a latent variable
Treatment response as a latent variable
Christopher Tosh
Boyuan Zhang
Wesley Tansey
CML
242
1
0
12 Feb 2025
Learning Counterfactual Outcomes Under Rank Preservation
Learning Counterfactual Outcomes Under Rank Preservation
Peng Wu
Haoxuan Li
Chunyuan Zheng
Yan Zeng
Jiawei Chen
Yang Liu
Ruocheng Guo
Jianchao Tan
358
4
0
10 Feb 2025
Integrating Probabilistic Trees and Causal Networks for Clinical and Epidemiological Data
Integrating Probabilistic Trees and Causal Networks for Clinical and Epidemiological Data
Sheresh Zahoor
Pietro Liò
G. Dias
Mohammed Hasanuzzaman
297
3
0
28 Jan 2025
C-HDNet: Hyperdimensional Computing for Causal Effect Estimation from Observational Data Under Network Interference
C-HDNet: Hyperdimensional Computing for Causal Effect Estimation from Observational Data Under Network Interference
Abhishek Dalvi
Neil Ashtekar
V. Honavar
CML
137
1
0
27 Jan 2025
Oblique Bayesian additive regression trees
Oblique Bayesian additive regression trees
Paul-Hieu V. Nguyen
Ryan Yee
Sameer K. Deshpande
184
0
0
13 Nov 2024
Testing Generalizability in Causal Inference
Testing Generalizability in Causal InferenceConference on Uncertainty in Artificial Intelligence (UAI), 2024
Daniel de Vassimon Manela
Linying Yang
Robin J. Evans
383
0
0
05 Nov 2024
On MCMC mixing under unidentified nonparametric models with an
  application to survival predictions under transformation models
On MCMC mixing under unidentified nonparametric models with an application to survival predictions under transformation models
Chong Zhong
Jin Yang
Junshan Shen
Catherine C. Liu
Zhaohai Li
254
0
0
03 Nov 2024
Progression: an extrapolation principle for regression
Progression: an extrapolation principle for regression
Gloria Buriticá
Sebastian Engelke
287
9
0
30 Oct 2024
Very fast Bayesian Additive Regression Trees on GPU
Very fast Bayesian Additive Regression Trees on GPU
Giacomo Petrillo
269
1
0
30 Oct 2024
Bayesian Counterfactual Prediction Models for HIV Care Retention with
  Incomplete Outcome and Covariate Information
Bayesian Counterfactual Prediction Models for HIV Care Retention with Incomplete Outcome and Covariate Information
Arman Oganisian
J. Hogan
Edwin Sang
A. Delong
Ben Mosong
Hamish Fraser
Ann Mwangi
131
1
0
29 Oct 2024
Asymmetries in Financial Spillovers
Asymmetries in Financial Spillovers
Florian Huber
K. Klieber
Massimiliano Marcellino
Luca Onorante
Michael Pfarrhofer
161
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CaTs and DAGs: Integrating Directed Acyclic Graphs with Transformers for Causally Constrained Predictions
CaTs and DAGs: Integrating Directed Acyclic Graphs with Transformers for Causally Constrained Predictions
M. Vowels
Mathieu Rochat
S. Akbari
CMLGNNOOD
709
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0
18 Oct 2024
DiffPO: A causal diffusion model for learning distributions of potential
  outcomes
DiffPO: A causal diffusion model for learning distributions of potential outcomesNeural Information Processing Systems (NeurIPS), 2024
Yuchen Ma
Valentyn Melnychuk
Jonas Schweisthal
Stefan Feuerriegel
DiffM
404
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11 Oct 2024
SMART: A Flexible Approach to Regression using Spline-Based Multivariate
  Adaptive Regression Trees
SMART: A Flexible Approach to Regression using Spline-Based Multivariate Adaptive Regression Trees
William Pattie
Arvind Krishna
156
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Ranking Perspective for Tree-based Methods with Applications to Symbolic
  Feature Selection
Ranking Perspective for Tree-based Methods with Applications to Symbolic Feature Selection
Hengrui Luo
Meng Li
287
1
0
03 Oct 2024
Gaussian Processes for Observational Dose-Response Inference
Gaussian Processes for Observational Dose-Response Inference
Jake R. Dailey
175
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0
25 Sep 2024
Model-independent variable selection via the rule-based variable
  priority
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Min Lu
H. Ishwaran
300
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13 Sep 2024
Causal Rule Forest: Toward Interpretable and Precise Treatment Effect
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Causal Rule Forest: Toward Interpretable and Precise Treatment Effect EstimationIEEE International Conference on Information Reuse and Integration (IRI), 2024
Chan Hsu
Jun-Ting Wu
Yihuang Kang
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143
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27 Aug 2024
A System for Automated Unit Test Generation Using Large Language Models
  and Assessment of Generated Test Suites
A System for Automated Unit Test Generation Using Large Language Models and Assessment of Generated Test SuitesInternational Conference on Software Testing, Verification and Validation Workshops (ICSTW), 2024
Andrea Lops
Fedelucio Narducci
Azzurra Ragone
Michelantonio Trizio
Claudio Bartolini
233
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14 Aug 2024
A Bayesian Classification Trees Approach to Treatment Effect Variation
  with Noncompliance
A Bayesian Classification Trees Approach to Treatment Effect Variation with Noncompliance
Jared D. Fisher
David Puelz
Sameer K. Deshpande
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213
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0
14 Aug 2024
Efficient Decision Trees for Tensor Regressions
Efficient Decision Trees for Tensor RegressionsJournal of Computational And Graphical Statistics (JCGS), 2024
Hengrui Luo
Akira Horiguchi
Li Ma
294
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