Quasi-Oracle Estimation of Heterogeneous Treatment Effects

13 December 2017

Papers citing "Quasi-Oracle Estimation of Heterogeneous Treatment Effects"

32 / 32 papers shown

Title
Leveraging a Simulator for Learning Causal Representations from Post-Treatment Covariates for CATE Lokesh Nagalapatti Pranava Singhal Avishek Ghosh Sunita Sarawagi CML 110 0 0 07 Feb 2025
A New Transformation Approach for Uplift Modeling with Binary Outcome Kun Li Jiang Tian 101 0 0 10 Jan 2025
Session-Level Dynamic Ad Load Optimization using Offline Robust Reinforcement Learning Tao Liu Qi Xu Wei Shi Zhigang Hua Shuang Yang OffRL 65 0 0 09 Jan 2025
Double Machine Learning for Static Panel Models with Fixed Effects Paul Clarke Annalivia Polselli 119 3 0 03 Jan 2025
Practical Performative Policy Learning with Strategic Agents Qianyi Chen Ying Chen Bo Li 169 0 0 02 Dec 2024
Quantifying Aleatoric Uncertainty of the Treatment Effect: A Novel Orthogonal Learner Valentyn Melnychuk Stefan Feuerriegel Mihaela van der Schaar CML 225 5 0 05 Nov 2024
Estimating Wage Disparities Using Foundation Models Keyon Vafa Susan Athey David M. Blei 146 3 0 15 Sep 2024
Model-agnostic meta-learners for estimating heterogeneous treatment effects over time Dennis Frauen Konstantin Hess Stefan Feuerriegel 112 7 0 07 Jul 2024
Orthogonal Causal Calibration Justin Whitehouse Christopher Jung Vasilis Syrgkanis Bryan Wilder Zhiwei Steven Wu CML 140 1 0 04 Jun 2024
Conformal Convolution and Monte Carlo Meta-learners for Predictive Inference of Individual Treatment Effects Jef Jonkers Jarne Verhaeghe Glenn Van Wallendael Luc Duchateau Sofie Van Hoecke 406 2 0 07 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
Selective Uncertainty Propagation in Offline RL Sanath Kumar Krishnamurthy Shrey Modi Tanmay Gangwani S. Katariya Branislav Kveton A. Rangi OffRL 189 0 0 01 Feb 2023
Sequential Kernel Embedding for Mediated and Time-Varying Dose Response Curves Rahul Singh Liyuan Xu Arthur Gretton 79 3 0 06 Nov 2021
Safe Policy Learning through Extrapolation: Application to Pre-trial Risk Assessment Eli Ben-Michael D. J. Greiner Kosuke Imai Zhichao Jiang OffRL 165 22 0 22 Sep 2021
Assumption-lean inference for generalised linear model parameters S. Vansteelandt O. Dukes CML 130 49 0 15 Jun 2020
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 168 286 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 64 219 0 01 Jul 2017
Meta-learners for Estimating Heterogeneous Treatment Effects using Machine Learning Sören R. Künzel Jasjeet Sekhon Peter J. Bickel Bin Yu CML 164 924 0 12 Jun 2017
Selective inference for effect modification via the lasso Qingyuan Zhao Dylan S. Small Ashkan Ertefaie CML 95 50 0 22 May 2017
Policy Learning with Observational Data Susan Athey Stefan Wager CML OffRL 447 183 0 09 Feb 2017
Generalized Random Forests Susan Athey J. Tibshirani Stefan Wager 314 1,358 0 05 Oct 2016
High-dimensional regression adjustments in randomized experiments Stefan Wager Wenfei Du Jonathan E. Taylor Robert Tibshirani 250 117 0 22 Jul 2016
TensorFlow: A system for large-scale machine learning Martín Abadi P. Barham Jianmin Chen Zhiwen Chen Andy Davis ... Vijay Vasudevan Pete Warden Martin Wicke Yuan Yu Xiaoqiang Zhang GNN AI4CE 433 18,350 0 27 May 2016
Decomposing Treatment Effect Variation Peng Ding Avi Feller Luke W. Miratrix CML 78 81 0 21 May 2016
Statistical inference for the mean outcome under a possibly non-unique optimal treatment strategy Alexander Luedtke M. J. van der Laan 254 222 0 24 Mar 2016
XGBoost: A Scalable Tree Boosting System Tianqi Chen Carlos Guestrin 790 38,735 0 09 Mar 2016
Estimation and Inference of Heterogeneous Treatment Effects using Random Forests Stefan Wager Susan Athey SyDa CML 352 2,483 0 14 Oct 2015
Recursive Partitioning for Heterogeneous Causal Effects Susan Athey Guido Imbens CML 256 1,430 0 05 Apr 2015
Program Evaluation and Causal Inference with High-Dimensional Data A. Belloni Victor Chernozhukov Iván Fernández-Val Christian B. Hansen CML 190 358 0 11 Nov 2013
Doubly Robust Policy Evaluation and Learning Miroslav Dudík John Langford Lihong Li OffRL 339 697 0 23 Mar 2011
Regularization in kernel learning S. Mendelson Joe Neeman 308 144 0 13 Jan 2010
Consistency of cross validation for comparing regression procedures Yuhong Yang 152 177 0 20 Mar 2008