Random forests and kernel methods

12 February 2015

Papers citing "Random forests and kernel methods"

15 / 15 papers shown

Title
Improving Random Forests by Smoothing Ziyi Liu Phuc Luong Mario Boley Daniel F. Schmidt UQCV 42 0 0 11 May 2025
Automatic Double Reinforcement Learning in Semiparametric Markov Decision Processes with Applications to Long-Term Causal Inference Lars van der Laan David Hubbard Allen Tran Nathan Kallus Aurélien F. Bibaut OffRL 39 0 0 12 Jan 2025
Stability of Random Forests and Coverage of Random-Forest Prediction Intervals Yan Wang Huaiqing Wu Dan Nettleton 19 9 0 28 Oct 2023
Local and Regional Counterfactual Rules: Summarized and Robust Recourses Salim I. Amoukou Nicolas Brunel 26 0 0 29 Sep 2022
TransBoost: A Boosting-Tree Kernel Transfer Learning Algorithm for Improving Financial Inclusion Yiheng Sun Tian Lu Cong Wang Yuan Li Huaiyu Fu Jingran Dong Y. Xu 14 2 0 04 Dec 2021
A Framework for an Assessment of the Kernel-target Alignment in Tree Ensemble Kernel Learning Dai Feng R. Baumgartner 24 0 0 19 Aug 2021
Forest Guided Smoothing I. Verdinelli Larry A. Wasserman 18 3 0 08 Mar 2021
Stochastic Optimization Forests Nathan Kallus Xiaojie Mao 24 48 0 17 Aug 2020
Estimating the Algorithmic Variance of Randomized Ensembles via the Bootstrap Miles E. Lopes 15 24 0 20 Jul 2019
Model Agnostic Supervised Local Explanations Gregory Plumb Denali Molitor Ameet Talwalkar FAtt LRM MILM 14 196 0 09 Jul 2018
Supervised Learning in Automatic Channel Selection for Epileptic Seizure Detection N. D. Truong L. Kuhlmann M. Bonyadi Jiawei Yang A. Faulks O. Kavehei 11 69 0 31 Jan 2017
The Mondrian Kernel Matej Balog Balaji Lakshminarayanan Zoubin Ghahramani Daniel M. Roy Yee Whye Teh 11 26 0 16 Jun 2016
A Random Forest Guided Tour Gérard Biau Erwan Scornet AI4TS 143 2,725 0 18 Nov 2015
Cellular Tree Classifiers Gérard Biau Luc Devroye 120 9 0 20 Jan 2013
High-dimensional additive modeling L. Meier Sara van de Geer Peter Buhlmann 195 481 0 25 Jun 2008