Deconfounding Temporal Autoencoder: Estimating Treatment Effects over Time Using Noisy Proxies

6 December 2021

Papers citing "Deconfounding Temporal Autoencoder: Estimating Treatment Effects over Time Using Noisy Proxies"

7 / 7 papers shown

Title
Stabilized Neural Prediction of Potential Outcomes in Continuous Time Konstantin Hess Stefan Feuerriegel 48 0 0 04 Oct 2024
Estimating Treatment Effects in Continuous Time with Hidden Confounders Defu Cao James Enouen Yong-Jin Liu CML 35 2 0 19 Feb 2023
Learning Optimal Dynamic Treatment Regimes Using Causal Tree Methods in Medicine Theresa Blümlein Joel Persson Stefan Feuerriegel CML 32 11 0 14 Apr 2022
When Physics Meets Machine Learning: A Survey of Physics-Informed Machine Learning Chuizheng Meng Sungyong Seo Defu Cao Sam Griesemer Yan Liu PINN AI4CE 42 57 0 31 Mar 2022
Combining Observational and Randomized Data for Estimating Heterogeneous Treatment Effects Tobias Hatt Jeroen Berrevoets Alicia Curth Stefan Feuerriegel M. Schaar CML 52 29 0 25 Feb 2022
Estimating Average Treatment Effects via Orthogonal Regularization Tobias Hatt Stefan Feuerriegel CML 153 35 0 21 Jan 2021
Learning Representations for Counterfactual Inference Fredrik D. Johansson Uri Shalit David Sontag CML OOD BDL 229 719 0 12 May 2016