Identification In Missing Data Models Represented By Directed Acyclic Graphs

29 June 2019

Papers citing "Identification In Missing Data Models Represented By Directed Acyclic Graphs"

9 / 9 papers shown

Title
Evaluation of Active Feature Acquisition Methods for Time-varying Feature Settings Henrik von Kleist Alireza Zamanian I. Shpitser Narges Ahmidi OffRL 215 3 0 03 Dec 2023
Sharing pattern submodels for prediction with missing values Lena Stempfle Ashkan Panahi Fredrik D. Johansson 72 8 0 22 Jun 2022
MissDAG: Causal Discovery in the Presence of Missing Data with Continuous Additive Noise Models Erdun Gao Ignavier Ng Biwei Huang Li Shen Wei Huang Tongliang Liu Kun Zhang H. Bondell CML 146 23 0 27 May 2022
MIRACLE: Causally-Aware Imputation via Learning Missing Data Mechanisms Trent Kyono Yao Zhang Alexis Bellot M. Schaar CML 108 66 0 04 Nov 2021
The Importance of Modeling Data Missingness in Algorithmic Fairness: A Causal Perspective Naman Goel Alfonso Amayuelas Amit Deshpande Ajay Sharma FaML 158 31 0 21 Dec 2020
Full Law Identification In Graphical Models Of Missing Data: Completeness Results Razieh Nabi Rohit Bhattacharya I. Shpitser 61 50 0 10 Apr 2020
Optimal Training of Fair Predictive Models Razieh Nabi Daniel Malinsky I. Shpitser 68 14 0 09 Oct 2019
Causal Effect Identification from Multiple Incomplete Data Sources: A General Search-based Approach Santtu Tikka Antti Hyttinen Juha Karvanen CML 174 31 0 04 Feb 2019
Causal Discovery in the Presence of Missing Data Ruibo Tu Cheng Zhang P. Ackermann Bo Christer Bertilson Clark Glymour Hedvig Kjellström Kun Zhang CML 107 65 0 11 Jul 2018