Generalized Random Forests

5 October 2016

Papers citing "Generalized Random Forests"

36 / 86 papers shown

Title
Learning Optimal Dynamic Treatment Regimes Using Causal Tree Methods in Medicine Theresa Blümlein Joel Persson Stefan Feuerriegel CML 27 11 0 14 Apr 2022
Flexible and Efficient Contextual Bandits with Heterogeneous Treatment Effect Oracles Aldo G. Carranza Sanath Kumar Krishnamurthy Susan Athey 11 1 0 30 Mar 2022
GCF: Generalized Causal Forest for Heterogeneous Treatment Effect Estimation in Online Marketplace Shu Wan Chen Zheng Zhonggen Sun Mengfan Xu Xiaoqing Yang Hong-Tu Zhu Jiecheng Guo 21 7 0 21 Mar 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 23 4 0 10 Feb 2022
Validating Causal Inference Methods Harsh Parikh Carlos Varjao Louise Xu E. T. Tchetgen CML 13 20 0 09 Feb 2022
LBCF: A Large-Scale Budget-Constrained Causal Forest Algorithm Meng Ai Biao Li Heyang Gong Qingwei Yu S. Xue Yuan Zhang Yunzhou Zhang Peng Jiang CML OffRL 9 17 0 29 Jan 2022
BITES: Balanced Individual Treatment Effect for Survival data Stefan Schrod Andreas Schäfer S. Solbrig R. Lohmayer W. Gronwald P. Oefner T. Beissbarth Rainer Spang H. Zacharias Michael Altenbuchinger CML 15 22 0 05 Jan 2022
Confidence intervals for the random forest generalization error Paulo Cilas Cilas Marques Filho UQCV AI4CE 28 10 0 11 Dec 2021
Distribution Shift in Airline Customer Behavior during COVID-19 Abhinav Garg Naman Shukla Lavanya Marla S. Somanchi OOD 16 7 0 29 Nov 2021
Heterogeneous Effects of Software Patches in a Multiplayer Online Battle Arena Game Yuzi He Christopher Tran Julie Jiang Keith Burghardt Emilio Ferrara Elena Zheleva Kristina Lerman 6 10 0 27 Oct 2021
Individual causal effects from observational longitudinal studies with time-varying exposures Richard Post Z. Zhan Edwin R. van den Heuvel CML 19 0 0 06 Sep 2021
DoWhy: Addressing Challenges in Expressing and Validating Causal Assumptions Amit Sharma Vasilis Syrgkanis Cheng Zhang Emre Kıcıman 16 26 0 27 Aug 2021
Machine Learning for Variance Reduction in Online Experiments Yongyi Guo Dominic Coey Mikael Konutgan Wenting Li Ch. P. Schoener Matt Goldman 14 34 0 14 Jun 2021
Probabilistic water demand forecasting using quantile regression algorithms Georgia Papacharalampous A. Langousis 11 7 0 16 Apr 2021
Forest Guided Smoothing I. Verdinelli Larry A. Wasserman 13 3 0 08 Mar 2021
An Embedded Model Estimator for Non-Stationary Random Functions using Multiple Secondary Variables C. Daly 9 5 0 09 Nov 2020
Stochastic Optimization Forests Nathan Kallus Xiaojie Mao 24 48 0 17 Aug 2020
Rejoinder: On nearly assumption-free tests of nominal confidence interval coverage for causal parameters estimated by machine learning Lin Liu Rajarshi Mukherjee J. M. Robins CML 33 16 0 07 Aug 2020
Provably Efficient Neural Estimation of Structural Equation Model: An Adversarial Approach Luofeng Liao You-Lin Chen Zhuoran Yang Bo Dai Zhaoran Wang Mladen Kolar 22 32 0 02 Jul 2020
Assumption-lean inference for generalised linear model parameters S. Vansteelandt O. Dukes CML 19 49 0 15 Jun 2020
Conformal Inference of Counterfactuals and Individual Treatment Effects Lihua Lei Emmanuel J. Candès CML 6 188 0 11 Jun 2020
Distributional Random Forests: Heterogeneity Adjustment and Multivariate Distributional Regression Domagoj Cevid Loris Michel Jeffrey Näf N. Meinshausen Peter Buhlmann 18 39 0 29 May 2020
Breiman's "Two Cultures" Revisited and Reconciled Subhadeep S. Mukhopadhyay Kaijun Wang CML VLM 6 4 0 27 May 2020
Ivy: Instrumental Variable Synthesis for Causal Inference Zhaobin Kuang Frederic Sala N. Sohoni Sen Wu A. Córdova-Palomera Jared A. Dunnmon J. Priest Christopher Ré CML 6 26 0 11 Apr 2020
MissDeepCausal: Causal Inference from Incomplete Data Using Deep Latent Variable Models Imke Mayer Julie Josse Félix Raimundo Jean-Philippe Vert CML 16 12 0 25 Feb 2020
Priority to unemployed immigrants? A causal machine learning evaluation of training in Belgium Bart Cockx Michael Lechner Joost Boolens CML 23 108 0 30 Dec 2019
An introduction to flexible methods for policy evaluation M. Huber CML 19 7 0 01 Oct 2019
Affordable Uplift: Supervised Randomization in Controlled Experiments Johannes Haupt D. Jacob R. M. Gubela Stefan Lessmann 19 5 0 01 Oct 2019
Detecting Heterogeneous Treatment Effect with Instrumental Variables Michael Johnson Jiongyi Cao Hyunseung Kang CML 16 7 0 09 Aug 2019
Heterogeneous causal effects with imperfect compliance: a Bayesian machine learning approach Falco J. Bargagli-Stoffi Kristof De-Witte G. Gnecco 16 15 0 29 May 2019
Classifying Treatment Responders Under Causal Effect Monotonicity Nathan Kallus CML 18 16 0 14 Feb 2019
Perfect Match: A Simple Method for Learning Representations For Counterfactual Inference With Neural Networks Patrick Schwab Lorenz Linhardt W. Karlen CML BDL 11 111 0 01 Oct 2018
Neural networks for post-processing ensemble weather forecasts S. Rasp Sebastian Lerch 16 343 0 23 May 2018
Estimation Considerations in Contextual Bandits Maria Dimakopoulou Zhengyuan Zhou Susan Athey Guido Imbens 16 69 0 19 Nov 2017
A Random Forest Guided Tour Gérard Biau Erwan Scornet AI4TS 139 2,721 0 18 Nov 2015
ranger: A Fast Implementation of Random Forests for High Dimensional Data in C++ and R Marvin N. Wright A. Ziegler 93 2,731 0 18 Aug 2015