Disentangled Counterfactual Recurrent Networks for Treatment Effect Inference over Time

7 December 2021

Papers citing "Disentangled Counterfactual Recurrent Networks for Treatment Effect Inference over Time"

4 / 4 papers shown

Title
Navigating causal deep learning Jeroen Berrevoets Krzysztof Kacprzyk Zhaozhi Qian M. Schaar CML 28 2 0 01 Dec 2022
Estimating average causal effects from patient trajectories Dennis Frauen Tobias Hatt Valentyn Melnychuk Stefan Feuerriegel OOD CML 16 25 0 02 Mar 2022
A Bayesian Nonparametric Approach for Estimating Individualized Treatment-Response Curves Yanbo Xu Yanxun Xu S. Saria CML 51 40 0 18 Aug 2016
Learning Representations for Counterfactual Inference Fredrik D. Johansson Uri Shalit David Sontag CML OOD BDL 210 718 0 12 May 2016