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Markovian acyclic directed mixed graphs for discrete data

28 January 2013

Papers citing "Markovian acyclic directed mixed graphs for discrete data"

25 / 25 papers shown

Title
Zero Inflation as a Missing Data Problem: a Proxy-based Approach Trung-Nghia Phung Jaron J. R. Lee Opeyemi Oladapo-Shittu Eili Y. Klein A. P. Gurses ... Kimberly Weems Jill A. Marsteller Sara E. Cosgrove Sara C. Keller I. Shpitser 58 0 0 01 Jun 2024
CURE: Simulation-Augmented Auto-Tuning in Robotics Md. Abir Hossen Sonam Kharade Jason M. O'Kane B. Schmerl David Garlan Pooyan Jamshidi 99 1 0 08 Feb 2024
Confounder selection via iterative graph expansion F. R. Guo Qingyuan Zhao CML 54 6 0 12 Sep 2023
Self-Compatibility: Evaluating Causal Discovery without Ground Truth P. M. Faller L. C. Vankadara Atalanti A. Mastakouri Francesco Locatello Dominik Janzing Karlsruhe Institute of Technology CML 87 16 0 18 Jul 2023
Causal Razors Wai-yin Lam CML 65 0 0 20 Feb 2023
Data-Driven Causal Effect Estimation Based on Graphical Causal Modelling: A Survey Debo Cheng Jiuyong Li Lin Liu Jixue Liu T. Le CML 94 32 0 20 Aug 2022
Blessing of Dependence: Identifiability and Geometry of Discrete Models with Multiple Binary Latent Variables Yuqi Gu 117 6 0 08 Mar 2022
On Testability of the Front-Door Model via Verma Constraints Rohit Bhattacharya Razieh Nabi 85 9 0 01 Mar 2022
Learning latent causal graphs via mixture oracles Bohdan Kivva Goutham Rajendran Pradeep Ravikumar Bryon Aragam CML 82 48 0 29 Jun 2021
Incorporating Causal Graphical Prior Knowledge into Predictive Modeling via Simple Data Augmentation Takeshi Teshima Masashi Sugiyama CML 91 13 0 27 Feb 2021
Necessary and sufficient graphical conditions for optimal adjustment sets in causal graphical models with hidden variables Jakob Runge CML 94 27 0 20 Feb 2021
Integer Programming for Causal Structure Learning in the Presence of Latent Variables Rui Chen S. Dash Tian Gao CML 86 15 0 05 Feb 2021
Differentiable Causal Discovery Under Unmeasured Confounding Rohit Bhattacharya Tushar Nagarajan Daniel Malinsky I. Shpitser CML 80 61 0 14 Oct 2020
Path Dependent Structural Equation Models R. Srinivasan Jaron J. R. Lee Rohit Bhattacharya Narges Ahmidi I. Shpitser CML 63 4 0 24 Aug 2020
Faster algorithms for Markov equivalence Zhongyi Hu R. Evans 82 12 0 05 Jul 2020
Full Law Identification In Graphical Models Of Missing Data: Completeness Results Razieh Nabi Rohit Bhattacharya I. Shpitser 61 50 0 10 Apr 2020
Efficient adjustment sets for population average treatment effect estimation in non-parametric causal graphical models A. Rotnitzky Ezequiel Smucler CML 96 31 0 01 Dec 2019
Constraint-based Causal Discovery for Non-Linear Structural Causal Models with Cycles and Latent Confounders Patrick Forré Joris M. Mooij CML 92 56 0 09 Jul 2018
Structural Learning of Multivariate Regression Chain Graphs via Decomposition Mohammad Ali Javidian Marco Valtorta BDL CML 30 3 0 03 Jun 2018
On the Properties of MVR Chain Graphs Mohammad Ali Javidian Marco Valtorta 44 6 0 09 Mar 2018
Markov equivalence of marginalized local independence graphs Søren Wengel Mogensen N. Hansen 43 1 0 27 Feb 2018
Smooth, identifiable supermodels of discrete DAG models with latent variables R. Evans Thomas S. Richardson CML 72 22 0 21 Nov 2015
Margins of discrete Bayesian networks R. Evans 106 69 0 09 Jan 2015
Graphs for margins of Bayesian networks R. Evans CML UQCV 115 92 0 08 Aug 2014
Marginalization and Conditioning for LWF Chain Graphs Kayvan Sadeghi 89 15 0 28 May 2014