Local Linear Forests

30 July 2018

Papers citing "Local Linear Forests"

28 / 28 papers shown

Title
Improving Random Forests by Smoothing Ziyi Liu Phuc Luong Mario Boley Daniel F. Schmidt UQCV 42 0 0 11 May 2025
SMART: A Flexible Approach to Regression using Spline-Based Multivariate Adaptive Regression Trees William Pattie Arvind Krishna 20 0 0 08 Oct 2024
Inference with Mondrian Random Forests M. D. Cattaneo Jason M. Klusowski W. Underwood 50 7 0 15 Oct 2023
Regression with Variable Dimension Covariates Peter Mueller Fernando Andrés Quintana G. Page 11 0 0 25 Sep 2023
Off-policy evaluation beyond overlap: partial identification through smoothness Samir Khan Martin Saveski J. Ugander OffRL 41 5 0 19 May 2023
Ensemble Projection Pursuit for General Nonparametric Regression Haoran Zhan Mingke Zhang Yingcun Xia 8 0 0 26 Oct 2022
A review of predictive uncertainty estimation with machine learning Hristos Tyralis Georgia Papacharalampous UD UQCV 59 43 0 17 Sep 2022
A review of machine learning concepts and methods for addressing challenges in probabilistic hydrological post-processing and forecasting Georgia Papacharalampous Hristos Tyralis AI4CE 27 28 0 17 Jun 2022
$Random Forest Weighted Local Fr\échet Regression with Random Objects$ Random Forest Weighted Local Fr\échet Regression with Random Objects Rui Qiu Zhou Yu Ruoqing Zhu 41 4 0 10 Feb 2022
Fast Interpretable Greedy-Tree Sums Yan Shuo Tan Chandan Singh Keyan Nasseri Abhineet Agarwal James Duncan Omer Ronen M. Epland Aaron E. Kornblith Bin-Xia Yu AI4CE 27 6 0 28 Jan 2022
Modelling hetegeneous treatment effects by quantitle local polynomial decision tree and forest Xinglin Lai CML 17 0 0 30 Nov 2021
A cautionary tale on fitting decision trees to data from additive models: generalization lower bounds Yan Shuo Tan Abhineet Agarwal Bin Yu 19 10 0 18 Oct 2021
Regression with Missing Data, a Comparison Study of TechniquesBased on Random Forests Irving Gómez-Méndez Émilien Joly 18 14 0 18 Oct 2021
Heterogeneous Treatment Effects in Regression Discontinuity Designs Ágoston Reguly CML 24 8 0 22 Jun 2021
An Interpretable Neural Network for Parameter Inference Johann Pfitzinger 21 0 0 10 Jun 2021
Fusing Sufficient Dimension Reduction with Neural Networks Daniel Kapla L. Fertl E. Bura 36 9 0 20 Apr 2021
Forest Guided Smoothing I. Verdinelli Larry A. Wasserman 23 3 0 08 Mar 2021
Modern Multiple Imputation with Functional Data Aniruddha Rajendra Rao M. Reimherr 13 13 0 25 Nov 2020
On the Consistency of a Random Forest Algorithm in the Presence of Missing Entries Irving Gómez-Méndez Émilien Joly 20 2 0 10 Nov 2020
The Macroeconomy as a Random Forest Philippe Goulet Coulombe 8 45 0 23 Jun 2020
Estimating heterogeneous treatment effects with right-censored data via causal survival forests Yifan Cui Michael R. Kosorok Erik Sverdrup Stefan Wager Ruoqing Zhu CML 30 68 0 27 Jan 2020
The Implicit Regularization of Ordinary Least Squares Ensembles Daniel LeJeune Hamid Javadi Richard G. Baraniuk 16 43 0 10 Oct 2019
Linear Aggregation in Tree-based Estimators Sören R. Künzel Theo Saarinen Edward W. Liu Jasjeet Sekhon 15 10 0 15 Jun 2019
Machine Learning Methods Economists Should Know About Susan Athey Guido Imbens 32 667 0 24 Mar 2019
Orthogonal Statistical Learning Dylan J. Foster Vasilis Syrgkanis 16 167 0 25 Jan 2019
Non-Parametric Inference Adaptive to Intrinsic Dimension Khashayar Khosravi Greg Lewis Vasilis Syrgkanis 21 7 0 11 Jan 2019
Kalman Filter-based Heuristic Ensemble (KFHE): A new perspective on multi-class ensemble classification using Kalman filters A. Pakrashi Brian Mac Namee 6 16 0 30 Jul 2018
Selective inference for effect modification via the lasso Qingyuan Zhao Dylan S. Small Ashkan Ertefaie CML 22 50 0 22 May 2017