conftrace_

bayesian network

378 papers

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Also known as

BNS BN

Co-occurring keywords

structure learning (341) graphical model (864) probabilistic graphical model (226) causal inference (1630) probabilistic modeling (852) directed acyclic graph (245) probabilistic inference (312) causal discovery (460) conditional independence (113) bayesian network structure learning (18)

Papers

How Causal Structural Knowledge Adds Decision-Support in Monitoring of Automotive Body Shop Assembly Lines IJCAI 2020
Tuning Causal Discovery Algorithms PGM 2020
Quantum Probabilistic Models Using Feynman Diagram Rules for Better Understanding the Information Diffusion Dynamics in Online Social Networks AAAI 2020
PGM_PyLib: A Toolkit for Probabilistic Graphical Models in Python PGM 2020
A Software System for Predicting Patient Flow at the Emergency Department of Aalborg University Hospital PGM 2020
CREMA: A Java Library for Credal Network Inference PGM 2020
Identifiability and Consistency of Bayesian Network Structure Learning from Incomplete Data PGM 2020
Learning Interpretable Representations with Informative Entanglements IJCAI 2020
Structure Learning from Related Data Sets with a Hierarchical Bayesian Score PGM 2020
Learning Bayesian Networks Under Sparsity Constraints: A Parameterized Complexity Analysis IJCAI 2020
Label Error Correction and Generation through Label Relationships AAAI 2020
Relation-Based Counterfactual Explanations for Bayesian Network Classifiers IJCAI 2020
Deep Bayesian Network for Visual Question Generation WACV 2020
Probabilistic Learning on Graphs via Contextual Architectures JMLR 2020
Efficient Distance Approximation for Structured High-Dimensional Distributions via Learning NIPS 2020
NSGA-Net: Neural Architecture Search using Multi-Objective Genetic Algorithm (Extended Abstract) IJCAI 2020
OpenMarkov, an Open-Source Tool for Probabilistic Graphical Models IJCAI 2019
A Weighted Mini-Bucket Bound for Solving Influence Diagram UAI 2019
Variational Training for Large-Scale Noisy-OR Bayesian Networks UAI 2019
Finding All Bayesian Network Structures within a Factor of Optimal AAAI 2019
Variational BEJG Solvers for Marginal-MAP Inference with Accurate Approximation of B-Conditional Entropy AAAI 2019
On the Hardness of Probabilistic Inference Relaxations AAAI 2019
Forward-Backward Selection with Early Dropping JMLR 2019
Cutset Bayesian Networks: A New Representation for Learning Rao-Blackwellised Graphical Models IJCAI 2019
Knockoffs for the Mass: New Feature Importance Statistics with False Discovery Guarantees AISTATS 2019