Multiple Causal Inference with Latent Confounding

21 May 2018

Papers citing "Multiple Causal Inference with Latent Confounding"

12 / 12 papers shown

Title
Causal Dynamic Variational Autoencoder for Counterfactual Regression in Longitudinal Data Mouad El Bouchattaoui Myriam Tami Benoit Lepetit P. Cournède CML OOD 71 2 0 16 Oct 2023
Multi-treatment Effect Estimation from Biomedical Data Raquel Y. S. Aoki Yizhou Chen M. Ester 18 0 0 14 Dec 2021
Causal Discovery from Conditionally Stationary Time Series Carles Balsells-Rodas Ruibo Tu Hedvig Kjellström Yingzhen Li Gabriele Schweikert Hedvig Kjellstrom Yingzhen Li BDL CML AI4TS 39 5 0 12 Oct 2021
Desiderata for Representation Learning: A Causal Perspective Yixin Wang Michael I. Jordan CML 32 80 0 08 Sep 2021
DoGR: Disaggregated Gaussian Regression for Reproducible Analysis of Heterogeneous Data N. Alipourfard Keith Burghardt Kristina Lerman 19 0 0 31 Aug 2021
General Control Functions for Causal Effect Estimation from Instrumental Variables A. Puli Rajesh Ranganath CML 18 4 0 08 Jul 2019
Adapting Text Embeddings for Causal Inference Victor Veitch Dhanya Sridhar David M. Blei CML 14 21 0 29 May 2019
The Medical Deconfounder: Assessing Treatment Effects with Electronic Health Records Linying Zhang Yixin Wang A. Ostropolets J. J. Mulgrave David M. Blei G. Hripcsak BDL CML 15 1 0 03 Apr 2019
On Multi-Cause Causal Inference with Unobserved Confounding: Counterexamples, Impossibility, and Alternatives Alexander DÁmour CML 22 41 0 27 Feb 2019
Using Embeddings to Correct for Unobserved Confounding in Networks Victor Veitch Yixin Wang David M. Blei CML 17 56 0 11 Feb 2019
The Blessings of Multiple Causes Yixin Wang David M. Blei AI4CE CML 24 284 0 17 May 2018
Learning Representations for Counterfactual Inference Fredrik D. Johansson Uri Shalit David Sontag CML OOD BDL 232 719 0 12 May 2016