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markov blanket

31 papers

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MB

Co-occurring keywords

causal discovery (460) bayesian network (378) feature selection (649) graphical model (864) mutual information (724) structure learning (341) bayesian inference (1907) causal inference (1630) conditional independence (113) causal structure learning (63)

Papers

DCILP: A Distributed Approach for Large-Scale Causal Structure Learning AAAI 2025
MCF-Spouse: A Multi-Label Causal Feature Selection Method with Optimal Spouses Discovery IJCAI 2025
A Bayesian Approach to Inferring Prerequisite Structures and Topic Difficulty in Language Learning ACL 2025
Local Causal Discovery with Linear non-Gaussian Cyclic Models AISTATS 2024
A weaker faithfulness assumption based on triple interactions UAI 2021
Model-Augmented Conditional Mutual Information Estimation for Feature Selection UAI 2020
Interactive Anomaly Detection in Mixed Tabular Data using Bayesian Networks PGM 2020
Tuning Causal Discovery Algorithms PGM 2020
Multi-Label Causal Feature Selection AAAI 2020
PGM-Explainer: Probabilistic Graphical Model Explanations for Graph Neural Networks NIPS 2020
Learning LWF Chain Graphs: A Markov Blanket Discovery Approach UAI 2020
Forward-Backward Selection with Early Dropping JMLR 2019
Message Passing Stein Variational Gradient Descent ICML 2018
Stein Variational Message Passing for Continuous Graphical Models ICML 2018
Exact learning augmented naive Bayes classifier PGM 2018
Markov Blanket and Markov Boundary of Multiple Variables JMLR 2018
Bayesian Markov Blanket Estimation AISTATS 2016
Improving Structure MCMC for Bayesian Networks through Markov Blanket Resampling JMLR 2016
On Construction of Hybrid Logistic Regression-Naïve Bayes Model for Classification PGM 2016
Structured Feature Selection ICCV 2015
From Dependency to Causality: A Machine Learning Approach JMLR 2015
Local Causal Discovery of Direct Causes and Effects NIPS 2015
Random Bayesian networks with bounded indegree AISTATS 2014
Informative Priors for Markov Blanket Discovery AISTATS 2012
Conditional Likelihood Maximisation: A Unifying Framework for Information Theoretic Feature Selection JMLR 2012