Semiparametric Inference For Causal Effects In Graphical Models With Hidden Variables

27 March 2020

Papers citing "Semiparametric Inference For Causal Effects In Graphical Models With Hidden Variables"

7 / 7 papers shown

Title
Deep Causal Learning: Representation, Discovery and Inference Zizhen Deng Xiaolong Zheng Hu Tian D. Zeng CML BDL 28 11 0 07 Nov 2022
Falsification before Extrapolation in Causal Effect Estimation Zeshan Hussain Michael Oberst M. Shih David Sontag CML 37 8 0 27 Sep 2022
Variable elimination, graph reduction and efficient g-formula F. R. Guo Emilija Perković A. Rotnitzky CML 19 5 0 24 Feb 2022
Unicorn: Reasoning about Configurable System Performance through the lens of Causality Md Shahriar Iqbal R. Krishna Mohammad Ali Javidian Baishakhi Ray Pooyan Jamshidi LRM 11 27 0 20 Jan 2022
Optimal Training of Fair Predictive Models Razieh Nabi Daniel Malinsky I. Shpitser 21 13 0 09 Oct 2019
Quantum Inflation: A General Approach to Quantum Causal Compatibility Elie Wolfe Alejandro Pozas-Kerstjens Matan Grinberg D. Rosset A. Acín M. Navascués AI4CE 17 54 0 23 Sep 2019
Discrete chain graph models Mathias Drton 106 129 0 04 Sep 2009