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Treeffuser: Probabilistic Predictions via Conditional Diffusions with
  Gradient-Boosted Trees

Treeffuser: Probabilistic Predictions via Conditional Diffusions with Gradient-Boosted Trees

11 June 2024
Nicolas Beltran-Velez
Alessandro Antonio Grande
Achille Nazaret
A. Kucukelbir
David M. Blei
ArXivPDFHTML

Papers citing "Treeffuser: Probabilistic Predictions via Conditional Diffusions with Gradient-Boosted Trees"

5 / 5 papers shown
Title
Posterior Mean Matching: Generative Modeling through Online Bayesian
  Inference
Posterior Mean Matching: Generative Modeling through Online Bayesian Inference
Sebastian Salazar
Michal Kucer
Yixin Wang
Emily Casleton
David Blei
DiffM
81
0
0
17 Dec 2024
Supervised Score-Based Modeling by Gradient Boosting
Supervised Score-Based Modeling by Gradient Boosting
Changyuan Zhao
Hongyang Du
Guangyuan Liu
Dusit Niyato
DiffM
34
0
0
02 Nov 2024
Unmasking Trees for Tabular Data
Unmasking Trees for Tabular Data
Calvin McCarter
24
2
0
08 Jul 2024
Simple and Scalable Predictive Uncertainty Estimation using Deep
  Ensembles
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles
Balaji Lakshminarayanan
Alexander Pritzel
Charles Blundell
UQCV
BDL
268
5,635
0
05 Dec 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in
  Deep Learning
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
Y. Gal
Zoubin Ghahramani
UQCV
BDL
247
9,042
0
06 Jun 2015
1