A survey of Bayesian Network structure learning

23 September 2021

N. K. Kitson

Anthony C. Constantinou

Yang Liu

Papers citing "A survey of Bayesian Network structure learning"

50 / 55 papers shown

Title
RLBayes: a Bayesian Network Structure Learning Algorithm via Reinforcement Learning-Based Search Strategy Mingcan Wang Junchang Xin L. Qu Qi Chen Z. Wang 18 0 0 07 Apr 2025
Stable Structure Learning with HC-Stable and Tabu-Stable Algorithms N. K. Kitson Anthony C. Constantinou 41 0 0 02 Apr 2025
A Guide to Bayesian Networks Software Packages for Structure and Parameter Learning -- 2025 Edition Joverlyn Gaudillo Nicole Astrologo Fabio Stella Enzo Acerbi Francesco Canonaco CML 66 0 0 21 Mar 2025
How Well Does Your Tabular Generator Learn the Structure of Tabular Data? Xiangjian Jiang Nikola Simidjievski M. Jamnik LMTD 77 0 0 13 Mar 2025
Active Causal Structure Learning with Latent Variables: Towards Learning to Detour in Autonomous Robots Pablo de los Riscos Fernando Corbacho CML 18 0 0 28 Oct 2024
MEC-IP: Efficient Discovery of Markov Equivalent Classes via Integer Programming Abdelmonem Elrefaey Rong Pan 26 0 0 22 Oct 2024
Adaptive Active Inference Agents for Heterogeneous and Lifelong Federated Learning Anastasiya Danilenka Alireza Furutanpey Víctor Casamayor Pujol Boris Sedlak Anna Lackinger M. Ganzha M. Paprzycki Schahram Dustdar 24 0 0 09 Oct 2024
bnRep: A repository of Bayesian networks from the academic literature Manuele Leonelli 16 2 0 27 Sep 2024
Adaptive Stream Processing on Edge Devices through Active Inference Boris Sedlak Víctor Casamayor Pujol Andrea Morichetta Praveen Kumar Donta Schahram Dustdar 18 2 0 26 Sep 2024
Using GPT-4 to guide causal machine learning Anthony C. Constantinou N. K. Kitson Alessio Zanga CML 31 1 0 26 Jul 2024
Exploring Biomarker Relationships in Both Type 1 and Type 2 Diabetes Mellitus Through a Bayesian Network Analysis Approach Yuyang Sun Jingyu Lei Panagiotis Kosmas 16 0 0 24 Jun 2024
Investigating potential causes of Sepsis with Bayesian network structure learning Bruno Petrungaro N. K. Kitson Anthony C. Constantinou CML 44 0 0 13 Jun 2024
Verbalized Probabilistic Graphical Modeling Hengguan Huang Xing Shen Songtao Wang Dianbo Liu Hao Wang Hao Wang Samir Bhatt 32 0 0 08 Jun 2024
Local Causal Structure Learning in the Presence of Latent Variables Feng Xie Zheng Li Peng Wu Yan Zeng Chunchen Liu Zhi Geng CML 21 2 0 25 May 2024
ProDAG: Projection-Induced Variational Inference for Directed Acyclic Graphs Ryan Thompson Edwin V. Bonilla Robert Kohn 31 0 0 24 May 2024
Weakly-supervised causal discovery based on fuzzy knowledge and complex data complementarity Wenrui Li Wei Zhang Qinghao Zhang Xuegong Zhang Xiaowo Wang 23 0 0 14 May 2024
Bayesian Functional Connectivity and Graph Convolutional Network for Working Memory Load Classification Harshini Gangapuram V. Manian 18 0 0 30 Apr 2024
Inference of Causal Networks using a Topological Threshold Filipe Barroso Diogo Gomes Gareth J. Baxter 26 0 0 21 Apr 2024
The Essential Role of Causality in Foundation World Models for Embodied AI Tarun Gupta Wenbo Gong Chao Ma Nick Pawlowski Agrin Hilmkil ... Jianfeng Gao Stefan Bauer Danica Kragic Bernhard Schölkopf Cheng Zhang 30 15 0 06 Feb 2024
Graph Neural Machine: A New Model for Learning with Tabular Data Giannis Nikolentzos Siyun Wang J. Lutzeyer Michalis Vazirgiannis 26 0 0 05 Feb 2024
Towards Human-like Perception: Learning Structural Causal Model in Heterogeneous Graph Tianqianjin Lin Kaisong Song Zhuoren Jiang Yangyang Kang Weikang Yuan Xurui Li Changlong Sun Cui Huang Xiaozhong Liu 28 6 0 10 Dec 2023
Divide-and-Conquer Strategy for Large-Scale Dynamic Bayesian Network Structure Learning Ouyang Hui Cheng Chen Ke Tang 11 1 0 04 Dec 2023
Causal Structure Learning Supervised by Large Language Model Taiyu Ban Lyuzhou Chen Derui Lyu Xiangyu Wang Huanhuan Chen 68 12 0 20 Nov 2023
Distributionally Robust Skeleton Learning of Discrete Bayesian Networks Yeshu Li Brian D. Ziebart OOD 19 0 0 10 Nov 2023
Causal discovery using dynamically requested knowledge N. K. Kitson Anthony C. Constantinou CML 6 0 0 17 Oct 2023
Fast & Efficient Learning of Bayesian Networks from Data: Knowledge Discovery and Causality Sein Minn Shunkai Fu CML BDL 13 0 0 13 Oct 2023
Learning bounded-degree polytrees with known skeleton Davin Choo Joy Qiping Yang Arnab Bhattacharyya C. Canonne 18 2 0 10 Oct 2023
CoLiDE: Concomitant Linear DAG Estimation S. S. Saboksayr Gonzalo Mateos Mariano Tepper CML 27 4 0 04 Oct 2023
Towards true discovery of the differential equations A. Hvatov Roman V. Titov 19 0 0 09 Aug 2023
CausalOps -- Towards an Industrial Lifecycle for Causal Probabilistic Graphical Models R. Maier A. Schlattl Thomas Guess J. Mottok AI4CE 20 1 0 02 Aug 2023
Causal Inference for Banking Finance and Insurance A Survey Satyam Kumar Yelleti Vivek V. Ravi I. Bose CML 35 3 0 31 Jul 2023
Tuning structure learning algorithms with out-of-sample and resampling strategies Kiattikun Chobtham Anthony C. Constantinou CML 12 2 0 24 Jun 2023
A Bayesian Take on Gaussian Process Networks Enrico Giudice Jack Kuipers G. Moffa GP 21 3 0 20 Jun 2023
Probabilistic Multi-Dimensional Classification Vu-Linh Nguyen Yang Yang Cassio de Campos 19 1 0 10 Jun 2023
Poisoning Network Flow Classifiers Giorgio Severi Simona Boboila Alina Oprea J. Holodnak K. Kratkiewicz J. Matterer AAML 33 4 0 02 Jun 2023
Open problems in causal structure learning: A case study of COVID-19 in the UK Anthony C. Constantinou N. K. Kitson Yang Liu Kiattikun Chobtham Arian Hashemzadeh Praharsh Nanavati R. Mbuvha Bruno Petrungaro CML 21 9 0 05 May 2023
Inferential Moments of Uncertain Multivariable Systems Junheng Li 22 1 0 03 May 2023
A Scale-Invariant Sorting Criterion to Find a Causal Order in Additive Noise Models Alexander G. Reisach Myriam Tami C. Seiler Antoine Chambaz S. Weichwald CML 25 19 0 31 Mar 2023
Causal Discovery from Temporal Data: An Overview and New Perspectives Chang Gong Di Yao Chuzhe Zhang Wenbin Li Jingping Bi AI4TS CML 16 17 0 17 Mar 2023
DAG Learning on the Permutahedron Valentina Zantedeschi Luca Franceschi Jean Kaddour Matt J. Kusner Vlad Niculae 25 11 0 27 Jan 2023
Causal Structural Learning from Time Series: A Convex Optimization Approach S. Wei Yao Xie CML 24 2 0 26 Jan 2023
Learning Discrete Directed Acyclic Graphs via Backpropagation A. Wren Pasquale Minervini Luca Franceschi Valentina Zantedeschi 19 2 0 27 Oct 2022
The Impact of Variable Ordering on Bayesian Network Structure Learning N. K. Kitson Anthony C. Constantinou CML 15 9 0 17 Jun 2022
Discovery and density estimation of latent confounders in Bayesian networks with evidence lower bound Kiattikun Chobtham Anthony C. Constantinou CML BDL 11 2 0 11 Jun 2022
Parallel Sampling for Efficient High-dimensional Bayesian Network Structure Learning Zhi-gao Guo Anthony C. Constantinou TPM 14 0 0 19 Feb 2022
FedDAG: Federated DAG Structure Learning Erdun Gao Junjia Chen Li Shen Tongliang Liu Mingming Gong H. Bondell FedML 37 17 0 07 Dec 2021
Effective and efficient structure learning with pruning and model averaging strategies Anthony C. Constantinou Yang Liu N. K. Kitson Kiattikun Chobtham Zhi-gao Guo 11 17 0 01 Dec 2021
Benchpress: A Scalable and Versatile Workflow for Benchmarking Structure Learning Algorithms Felix L. Rios G. Moffa Jack Kuipers CML 27 12 0 08 Jul 2021
Causal Graph Discovery from Self and Mutually Exciting Time Series S. Wei Yao Xie C. Josef Rishikesan Kamaleswaran CML 25 2 0 04 Jun 2021
Parameter Priors for Directed Acyclic Graphical Models and the Characterization of Several Probability Distributions D. Geiger David Heckerman 111 195 0 05 May 2021