Causal Discovery in the Presence of Missing Data

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Causal Discovery in the Presence of Missing Data

11 July 2018

Bo Christer Bertilson

Hedvig Kjellström

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Papers citing "Causal Discovery in the Presence of Missing Data"

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Title
TimeGraph: Synthetic Benchmark Datasets for Robust Time-Series Causal Discovery Muhammad Hasan Ferdous Emam Hossain Md. Osman Gani AI4TS 87 0 0 02 Jun 2025
Towards a Transportable Causal Network Model Based on Observational Healthcare Data Alice Bernasconi Alessio Zanga Peter J.F. Lucas M. Scutari Fabio Stella CML OOD 43 2 0 13 Nov 2023
Robust Causal Bandits for Linear Models Zirui Yan Arpan Mukherjee Burak Varici A. Tajer CML 75 4 0 30 Oct 2023
Benchmarking Bayesian Causal Discovery Methods for Downstream Treatment Effect Estimation Chris C. Emezue Alexandre Drouin T. Deleu Stefan Bauer Yoshua Bengio CML 88 2 0 11 Jul 2023
Discovering Causal Relations and Equations from Data Gustau Camps-Valls Andreas Gerhardus Urmi Ninad Gherardo Varando Georg Martius E. Balaguer-Ballester Ricardo Vinuesa Emiliano Díaz L. Zanna Jakob Runge PINN AI4Cl AI4CE CML 108 77 0 21 May 2023
CUTS: Neural Causal Discovery from Irregular Time-Series Data Yuxiao Cheng Runzhao Yang Tingxiong Xiao Zongren Li J. Suo K. He Qionghai Dai OOD BDL AI4TS CML 76 28 0 15 Feb 2023
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 139 23 0 27 May 2022
MIRACLE: Causally-Aware Imputation via Learning Missing Data Mechanisms Trent Kyono Yao Zhang Alexis Bellot M. Schaar CML 104 66 0 04 Nov 2021
Identifiable Generative Models for Missing Not at Random Data Imputation Chao Ma Cheng Zhang 70 36 0 27 Oct 2021
Scalable Causal Structure Learning: Scoping Review of Traditional and Deep Learning Algorithms and New Opportunities in Biomedicine Pulakesh Upadhyaya Kai Zhang Can Li Xiaoqian Jiang Yejin Kim CML 74 9 0 15 Oct 2021
Causal Discovery from Conditionally Stationary Time Series Carles Balsells-Rodas Ruibo Tu Tanmayee Narendra Yingzhen Li Gabriele Schweikert Hedvig Kjellström Yingzhen Li AI4TS BDL CML 172 6 0 12 Oct 2021
A survey of Bayesian Network structure learning N. K. Kitson Anthony C. Constantinou Zhi-gao Guo Yang Liu Kiattikun Chobtham CML 106 198 0 23 Sep 2021
Greedy structure learning from data that contain systematic missing values Yang Liu Anthony C. Constantinou 137 10 0 09 Jul 2021
Full Law Identification In Graphical Models Of Missing Data: Completeness Results Razieh Nabi Rohit Bhattacharya I. Shpitser 49 50 0 10 Apr 2020
Causal Discovery from Incomplete Data: A Deep Learning Approach Yuhao Wang Vlado Menkovski Hao Wang Xin Du Mykola Pechenizkiy CML 81 34 0 15 Jan 2020