Estimation and Inference of Heterogeneous Treatment Effects using Random Forests

14 October 2015

Papers citing "Estimation and Inference of Heterogeneous Treatment Effects using Random Forests"

35 / 285 papers shown

Title
Representation Balancing MDPs for Off-Policy Policy Evaluation Yao Liu Omer Gottesman Aniruddh Raghu Matthieu Komorowski A. Faisal Finale Doshi-Velez Emma Brunskill OffRL 32 75 0 23 May 2018
Counterfactual Mean Embeddings Krikamol Muandet Motonobu Kanagawa Sorawit Saengkyongam S. Marukatat CML OffRL 37 39 0 22 May 2018
Confounding-Robust Policy Improvement Nathan Kallus Angela Zhou CML OffRL 42 152 0 22 May 2018
The Blessings of Multiple Causes Yixin Wang David M. Blei AI4CE CML 29 285 0 17 May 2018
Sharp Analysis of a Simple Model for Random Forests Jason M. Klusowski FAtt 25 22 0 07 May 2018
Minimax optimal rates for Mondrian trees and forests Jaouad Mourtada Stéphane Gaïffas Erwan Scornet 59 49 0 15 Mar 2018
Learning Optimal Policies from Observational Data Onur Atan W. Zame M. Schaar CML OOD OffRL 26 18 0 23 Feb 2018
Learning Weighted Representations for Generalization Across Designs Fredrik D. Johansson Nathan Kallus Uri Shalit David Sontag OOD 44 87 0 23 Feb 2018
DeepMatch: Balancing Deep Covariate Representations for Causal Inference Using Adversarial Training Nathan Kallus CML OOD 29 76 0 15 Feb 2018
Prophit: Causal inverse classification for multiple continuously valued treatment policies Michael T. Lash Qihang Lin W. Street CML 21 3 0 14 Feb 2018
How to Make Causal Inferences Using Texts Naoki Egami Christian Fong Justin Grimmer Margaret E. Roberts Brandon M Stewart CML 44 137 0 06 Feb 2018
Estimation and Inference on Heterogeneous Treatment Effects in High-Dimensional Dynamic Panels under Weak Dependence Vira Semenova Matt Goldman Victor Chernozhukov Matt Taddy CML 30 13 0 28 Dec 2017
Automated versus do-it-yourself methods for causal inference: Lessons learned from a data analysis competition Vincent Dorie J. Hill Uri Shalit M. Scott D. Cervone CML 25 284 0 09 Jul 2017
Some methods for heterogeneous treatment effect estimation in high-dimensions Scott Powers Junyang Qian Kenneth Jung Alejandro Schuler N. Shah Trevor Hastie Robert Tibshirani CML 33 218 0 01 Jul 2017
A Comparison of Resampling and Recursive Partitioning Methods in Random Forest for Estimating the Asymptotic Variance Using the Infinitesimal Jackknife C. Brokamp M. Rao P. Ryan R. Jandarov 16 2 0 19 Jun 2017
Gene Hunting with Knockoffs for Hidden Markov Models Matteo Sesia C. Sabatti Emmanuel J. Candès 19 132 0 14 Jun 2017
Meta-learners for Estimating Heterogeneous Treatment Effects using Machine Learning Sören R. Künzel Jasjeet Sekhon Peter J. Bickel Bin Yu CML 27 907 0 12 Jun 2017
Optimization of Tree Ensembles V. Mišić 34 101 0 30 May 2017
Causal Effect Inference with Deep Latent-Variable Models Christos Louizos Uri Shalit Joris Mooij David Sontag R. Zemel Max Welling CML BDL 74 738 0 24 May 2017
Bayesian Inference of Individualized Treatment Effects using Multi-task Gaussian Processes Ahmed Alaa M. Schaar CML 38 299 0 10 Apr 2017
Policy Learning with Observational Data Susan Athey Stefan Wager CML OffRL 34 183 0 09 Feb 2017
Estimating Individual Treatment Effect in Observational Data Using Random Forest Methods Gian-Andrea Thanei Saad Sadiq Daniel J. Feaster N. Meinshausen CML 41 141 0 19 Jan 2017
Counterfactual Prediction with Deep Instrumental Variables Networks Jason S. Hartford Greg Lewis Kevin Leyton-Brown Matt Taddy CML OOD 29 49 0 30 Dec 2016
Constructing Effective Personalized Policies Using Counterfactual Inference from Biased Data Sets with Many Features Onur Atan W. Zame Qiaojun Feng M. Schaar OffRL CML 22 12 0 23 Dec 2016
Combining observational and experimental data to find heterogeneous treatment effects A. Peysakhovich Akos Lada CML 30 35 0 08 Nov 2016
Predicting Counterfactuals from Large Historical Data and Small Randomized Trials Nir Rosenfeld Yishay Mansour E. Yom-Tov CML 61 26 0 24 Oct 2016
Model Selection for Treatment Choice: Penalized Welfare Maximization Eric Mbakop Max Tabord-Meehan 43 65 0 11 Sep 2016
Recursive Partitioning for Personalization using Observational Data Nathan Kallus CML 14 99 0 31 Aug 2016
High-dimensional regression adjustments in randomized experiments Stefan Wager Wenfei Du Jonathan E. Taylor Robert Tibshirani 42 117 0 22 Jul 2016
Concrete Problems in AI Safety Dario Amodei C. Olah Jacob Steinhardt Paul Christiano John Schulman Dandelion Mané 88 2,342 0 21 Jun 2016
Estimating individual treatment effect: generalization bounds and algorithms Uri Shalit Fredrik D. Johansson David Sontag CML OOD 35 12 0 13 Jun 2016
Decomposing Treatment Effect Variation Peng Ding Avi Feller Luke W. Miratrix CML 13 79 0 21 May 2016
Estimating Treatment Effects using Multiple Surrogates: The Role of the Surrogate Score and the Surrogate Index Susan Athey Raj Chetty Guido Imbens Hyunseung Kang CML 22 50 0 30 Mar 2016
On the use of Harrell's C for clinical risk prediction via random survival forests M. Schmid Marvin N. Wright A. Ziegler 41 96 0 11 Jul 2015
Recursive Partitioning for Heterogeneous Causal Effects Susan Athey Guido Imbens CML 17 1,418 0 05 Apr 2015