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Fréchet random forests for metric space valued regression with non
  euclidean predictors
v1v2v3 (latest)

Fréchet random forests for metric space valued regression with non euclidean predictors

4 June 2019
L. Capitaine
Jérémie Bigot
R. Thiébaut
Robin Genuer
ArXiv (abs)PDFHTML

Papers citing "Fréchet random forests for metric space valued regression with non euclidean predictors"

8 / 8 papers shown
DFNN: A Deep Fréchet Neural Network Framework for Learning Metric-Space-Valued Responses
DFNN: A Deep Fréchet Neural Network Framework for Learning Metric-Space-Valued Responses
Kyum Kim
Yaqing Chen
Paromita Dubey
120
0
0
20 Oct 2025
End-to-End Deep Learning for Predicting Metric Space-Valued Outputs
End-to-End Deep Learning for Predicting Metric Space-Valued Outputs
Yidong Zhou
Su I Iao
Hans-Georg Müller
116
1
0
28 Sep 2025
Fréchet Geodesic Boosting
Fréchet Geodesic Boosting
Yidong Zhou
Su I Iao
Hans-Georg Müller
AI4CE
92
1
0
22 Sep 2025
Conformal and kNN Predictive Uncertainty Quantification Algorithms in Metric Spaces
Conformal and kNN Predictive Uncertainty Quantification Algorithms in Metric Spaces
Gábor Lugosi
Marcos Matabuena
138
1
0
21 Jul 2025
Mixed-Curvature Decision Trees and Random Forests
Mixed-Curvature Decision Trees and Random Forests
Philippe Chlenski
Quentin Chu
I. Pe’er
217
2
0
07 Jun 2024
Medoid splits for efficient random forests in metric spaces
Medoid splits for efficient random forests in metric spacesComputational Statistics & Data Analysis (CSDA), 2023
Matthieu Bulté
Helle Sorensen
150
8
0
29 Jun 2023
Errors-in-variables Fréchet Regression with Low-rank Covariate
  Approximation
Errors-in-variables Fréchet Regression with Low-rank Covariate ApproximationNeural Information Processing Systems (NeurIPS), 2023
Kyunghee Han
Dogyoon Song
204
5
0
16 May 2023
Random Forest Weighted Local Fr\échet Regression with Random Objects
Random Forest Weighted Local Fr\échet Regression with Random ObjectsJournal of machine learning research (JMLR), 2022
Rui Qiu
Zhou Yu
Ruoqing Zhu
471
12
0
10 Feb 2022
1
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