ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1407.3939
  4. Cited By
Analysis of purely random forests bias

Analysis of purely random forests bias

15 July 2014
Sylvain Arlot
Robin Genuer
ArXiv (abs)PDFHTML

Papers citing "Analysis of purely random forests bias"

40 / 40 papers shown
Title
Statistical Advantages of Oblique Randomized Decision Trees and Forests
Statistical Advantages of Oblique Randomized Decision Trees and Forests
Eliza O'Reilly
59
2
0
02 Jul 2024
Non-asymptotic Properties of Generalized Mondrian Forests in Statistical
  Learning
Non-asymptotic Properties of Generalized Mondrian Forests in Statistical Learning
Haoran Zhan
Jingli Wang
Yingcun Xia
85
0
0
02 Jun 2024
Do we need rebalancing strategies? A theoretical and empirical study around SMOTE and its variants
Do we need rebalancing strategies? A theoretical and empirical study around SMOTE and its variants
Abdoulaye Sakho
Emmanuel Malherbe
Erwan Scornet
149
3
0
06 Feb 2024
On the Convergence of CART under Sufficient Impurity Decrease Condition
On the Convergence of CART under Sufficient Impurity Decrease Condition
Rahul Mazumder
Haoyue Wang
95
3
0
26 Oct 2023
Random Forest Weighted Local Fr\échet Regression with Random Objects
Random Forest Weighted Local Fr\échet Regression with Random Objects
Rui Qiu
Zhou Yu
Ruoqing Zhu
185
5
0
10 Feb 2022
Is interpolation benign for random forest regression?
Is interpolation benign for random forest regression?
Ludovic Arnould
Claire Boyer
Erwan Scornet
81
6
0
08 Feb 2022
Scaffolding Sets
Scaffolding Sets
M. Burhanpurkar
Zhun Deng
Cynthia Dwork
Linjun Zhang
83
9
0
04 Nov 2021
Minimax Rates for High-Dimensional Random Tessellation Forests
Minimax Rates for High-Dimensional Random Tessellation Forests
Eliza O'Reilly
N. Tran
88
4
0
22 Sep 2021
WildWood: a new Random Forest algorithm
WildWood: a new Random Forest algorithm
Stéphane Gaïffas
Ibrahim Merad
Yiyang Yu
64
8
0
16 Sep 2021
A Learning Theoretic Perspective on Local Explainability
A Learning Theoretic Perspective on Local Explainability
Jeffrey Li
Vaishnavh Nagarajan
Gregory Plumb
Ameet Talwalkar
FAtt
62
18
0
02 Nov 2020
Smoothing and adaptation of shifted Pólya Tree ensembles
Smoothing and adaptation of shifted Pólya Tree ensembles
Thibault Randrianarisoa
77
3
0
23 Oct 2020
Estimation and Inference with Trees and Forests in High Dimensions
Estimation and Inference with Trees and Forests in High Dimensions
Vasilis Syrgkanis
Manolis Zampetakis
57
32
0
07 Jul 2020
Online Binary Space Partitioning Forests
Online Binary Space Partitioning Forests
Xuhui Fan
Bin Li
Scott A. Sisson
43
8
0
29 Feb 2020
Bayesian Nonparametric Space Partitions: A Survey
Bayesian Nonparametric Space Partitions: A Survey
Xuhui Fan
Bin Li
Ling Luo
Scott A. Sisson
145
14
0
26 Feb 2020
Stochastic geometry to generalize the Mondrian Process
Stochastic geometry to generalize the Mondrian Process
Eliza O'Reilly
N. Tran
76
15
0
03 Feb 2020
Estimating heterogeneous treatment effects with right-censored data via
  causal survival forests
Estimating heterogeneous treatment effects with right-censored data via causal survival forests
Yifan Cui
Michael R. Kosorok
Erik Sverdrup
Stefan Wager
Ruoqing Zhu
CML
74
75
0
27 Jan 2020
Trees, forests, and impurity-based variable importance
Trees, forests, and impurity-based variable importance
Erwan Scornet
FAtt
200
77
0
13 Jan 2020
Censored Quantile Regression Forest
Censored Quantile Regression Forest
Alexander Hanbo Li
Jelena Bradic
136
17
0
08 Jan 2020
Measuring the Algorithmic Convergence of Randomized Ensembles: The
  Regression Setting
Measuring the Algorithmic Convergence of Randomized Ensembles: The Regression Setting
Miles E. Lopes
Suofei Wu
Thomas C. M. Lee
52
5
0
04 Aug 2019
Estimating the Algorithmic Variance of Randomized Ensembles via the
  Bootstrap
Estimating the Algorithmic Variance of Randomized Ensembles via the Bootstrap
Miles E. Lopes
63
24
0
20 Jul 2019
AMF: Aggregated Mondrian Forests for Online Learning
AMF: Aggregated Mondrian Forests for Online Learning
Jaouad Mourtada
Stéphane Gaïffas
Erwan Scornet
90
29
0
25 Jun 2019
Analyzing CART
Analyzing CART
Jason M. Klusowski
99
6
0
24 Jun 2019
Leveraging Labeled and Unlabeled Data for Consistent Fair Binary
  Classification
Leveraging Labeled and Unlabeled Data for Consistent Fair Binary Classification
Evgenii Chzhen
Christophe Denis
Mohamed Hebiri
L. Oneto
Massimiliano Pontil
FaML
227
87
0
12 Jun 2019
Fréchet random forests for metric space valued regression with non
  euclidean predictors
Fréchet random forests for metric space valued regression with non euclidean predictors
L. Capitaine
Jérémie Bigot
R. Thiébaut
Robin Genuer
56
10
0
04 Jun 2019
Best-scored Random Forest Classification
Best-scored Random Forest Classification
H. Hang
Xiaoyu Liu
Ingo Steinwart
37
2
0
27 May 2019
On PAC-Bayesian Bounds for Random Forests
On PAC-Bayesian Bounds for Random Forests
S. Lorenzen
Christian Igel
Yevgeny Seldin
57
13
0
23 Oct 2018
Boulevard: Regularized Stochastic Gradient Boosted Trees and Their
  Limiting Distribution
Boulevard: Regularized Stochastic Gradient Boosted Trees and Their Limiting Distribution
Yichen Zhou
Giles Hooker
UQCV
174
11
0
26 Jun 2018
Sharp Analysis of a Simple Model for Random Forests
Sharp Analysis of a Simple Model for Random Forests
Jason M. Klusowski
FAtt
90
22
0
07 May 2018
Minimax optimal rates for Mondrian trees and forests
Minimax optimal rates for Mondrian trees and forests
Jaouad Mourtada
Stéphane Gaïffas
Erwan Scornet
145
49
0
15 Mar 2018
Universal consistency and minimax rates for online Mondrian Forests
Universal consistency and minimax rates for online Mondrian Forests
Jaouad Mourtada
Stéphane Gaïffas
Erwan Scornet
101
16
0
08 Nov 2017
Consistency of survival tree and forest models: splitting bias and
  correction
Consistency of survival tree and forest models: splitting bias and correction
Yifan Cui
Ruoqing Zhu
Mai Zhou
Michael R. Kosorok
69
28
0
30 Jul 2017
Arbres CART et Forêts aléatoires, Importance et sélection de
  variables
Arbres CART et Forêts aléatoires, Importance et sélection de variables
Robin Genuer
Jean-Michel Poggi
162
10
0
26 Oct 2016
Generalized Random Forests
Generalized Random Forests
Susan Athey
J. Tibshirani
Stefan Wager
371
1,375
0
05 Oct 2016
Comments on: "A Random Forest Guided Tour" by G. Biau and E. Scornet
Comments on: "A Random Forest Guided Tour" by G. Biau and E. Scornet
Sylvain Arlot
Robin Genuer
40
0
0
06 Apr 2016
Impact of subsampling and pruning on random forests
Impact of subsampling and pruning on random forests
Roxane Duroux
Erwan Scornet
69
13
0
14 Mar 2016
Random Forests for Big Data
Random Forests for Big Data
Robin Genuer
Jean-Michel Poggi
Christine Tuleau-Malot
N. Villa-Vialaneix
76
310
0
26 Nov 2015
A Random Forest Guided Tour
A Random Forest Guided Tour
Gérard Biau
Erwan Scornet
AI4TS
259
2,870
0
18 Nov 2015
On the use of Harrell's C for clinical risk prediction via random
  survival forests
On the use of Harrell's C for clinical risk prediction via random survival forests
M. Schmid
Marvin N. Wright
A. Ziegler
115
100
0
11 Jul 2015
Adaptive Concentration of Regression Trees, with Application to Random
  Forests
Adaptive Concentration of Regression Trees, with Application to Random Forests
Stefan Wager
G. Walther
171
25
0
22 Mar 2015
Random forests and kernel methods
Random forests and kernel methods
Erwan Scornet
215
230
0
12 Feb 2015
1