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Generalized Random Forests

5 October 2016

Papers citing "Generalized Random Forests"

29 / 29 papers shown

Title
Autoencoding Random Forests Binh Duc Vu Jan Kapar Marvin N. Wright David S. Watson 141 0 0 27 May 2025
Improving Random Forests by Smoothing Ziyi Liu Phuc Luong Mario Boley Daniel F. Schmidt UQCV 143 0 0 11 May 2025
Pre-Training Estimators for Structural Models: Application to Consumer Search Yanhao 'Max' Wei Zhenling Jiang 138 0 0 01 May 2025
A New Transformation Approach for Uplift Modeling with Binary Outcome Kun Li Jiang Tian 109 0 0 10 Jan 2025
Double Machine Learning for Static Panel Models with Fixed Effects Paul Clarke Annalivia Polselli 126 3 0 03 Jan 2025
Causality Pursuit from Heterogeneous Environments via Neural Adversarial Invariance Learning Yihong Gu Cong Fang Peter Bühlmann Jianqing Fan OOD CML 269 2 0 07 May 2024
Structure-agnostic Optimality of Doubly Robust Learning for Treatment Effect Estimation Jikai Jin Vasilis Syrgkanis CML 173 1 0 22 Feb 2024
Causal Dynamic Variational Autoencoder for Counterfactual Regression in Longitudinal Data Mouad El Bouchattaoui Myriam Tami Benoit Lepetit P. Cournède CML OOD 160 2 0 16 Oct 2023
A Recursive Partitioning Approach for Dynamic Discrete Choice Modeling in High Dimensional Settings E. Barzegary Hema Yoganarasimhan 96 0 0 02 Aug 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 134 5 0 10 Feb 2022
Assumption-lean inference for generalised linear model parameters S. Vansteelandt O. Dukes CML 130 49 0 15 Jun 2020
Policy Learning with Observational Data Susan Athey Stefan Wager CML OffRL 447 183 0 09 Feb 2017
Counterfactual Prediction with Deep Instrumental Variables Networks Jason S. Hartford Greg Lewis Kevin Leyton-Brown Matt Taddy CML OOD 169 49 0 30 Dec 2016
Recursive Partitioning for Personalization using Observational Data Nathan Kallus CML 239 100 0 31 Aug 2016
Approximate Residual Balancing: De-Biased Inference of Average Treatment Effects in High Dimensions Susan Athey Guido Imbens Stefan Wager CML 459 387 0 25 Apr 2016
A Random Forest Guided Tour Gérard Biau Erwan Scornet AI4TS 226 2,810 0 18 Nov 2015
Estimation and Inference of Heterogeneous Treatment Effects using Random Forests Stefan Wager Susan Athey SyDa CML 352 2,486 0 14 Oct 2015
ranger: A Fast Implementation of Random Forests for High Dimensional Data in C++ and R Marvin N. Wright A. Ziegler 267 2,784 0 18 Aug 2015
Recursive Partitioning for Heterogeneous Causal Effects Susan Athey Guido Imbens CML 259 1,433 0 05 Apr 2015
Analysis of purely random forests bias Sylvain Arlot Robin Genuer 132 77 0 15 Jul 2014
Consistency of random forests Erwan Scornet Gérard Biau Jean-Philippe Vert 154 517 0 12 May 2014
Program Evaluation and Causal Inference with High-Dimensional Data A. Belloni Victor Chernozhukov Iván Fernández-Val Christian B. Hansen CML 193 358 0 11 Nov 2013
Narrowing the Gap: Random Forests In Theory and In Practice Misha Denil David Matheson Nando de Freitas 182 230 0 04 Oct 2013
Sparse Models and Methods for Optimal Instruments with an Application to Eminent Domain A. Belloni Daniel L. Chen Victor Chernozhukov Christian B. Hansen 190 561 0 21 Oct 2010
Analysis of a Random Forests Model Gérard Biau 160 1,393 0 03 May 2010
The Offset Tree for Learning with Partial Labels A. Beygelzimer John Langford 312 185 0 21 Dec 2008
Consistency of Random Survival Forests H. Ishwaran U. B. Kogalur 150 211 0 18 Nov 2008
BART: Bayesian additive regression trees H. Chipman E. George R. McCulloch 151 1,792 0 19 Jun 2008
Higher order influence functions and minimax estimation of nonlinear functionals J. M. Robins Lingling Li E. T. Tchetgen A. van der Vaart 309 241 0 20 May 2008