Towards Federated Bayesian Network Structure Learning with Continuous Optimization

18 October 2021

Papers citing "Towards Federated Bayesian Network Structure Learning with Continuous Optimization"

29 / 29 papers shown

Title
FedGES: A Federated Learning Approach for BN Structure Learning Pablo Torrijos J. A. Gamez J. M. Puerta FedML 64 1 0 03 Feb 2025
$ψ$ DAG: Projected Stochastic Approximation Iteration for DAG Structure Learning Klea Ziu Slavomír Hanzely Loka Li Kun Zhang Martin Takáč Dmitry Kamzolov 33 1 0 31 Oct 2024
$Revisiting Differentiable Structure Learning: Inconsistency of $\ell_1$ Penalty and Beyond$ Revisiting Differentiable Structure Learning: Inconsistency of $\ell_1$ Penalty and Beyond Kaifeng Jin Ignavier Ng Kun Zhang Biwei Huang 30 0 0 24 Oct 2024
Interventional Causal Structure Discovery over Graphical Models with Convergence and Optimality Guarantees Qiu Chengbo Yang Kai CML 17 0 0 09 Aug 2024
Embarrassingly Parallel GFlowNets Tiago da Silva Luiz Max Carvalho Amauri Souza Samuel Kaski Diego Mesquita 28 1 0 05 Jun 2024
CCBNet: Confidential Collaborative Bayesian Networks Inference Abele Malan Jérémie Decouchant Thiago Guzella Lydia Y. Chen 13 0 0 23 May 2024
A Survey on Federated Analytics: Taxonomy, Enabling Techniques, Applications and Open Issues Zibo Wang Haichao Ji Yifei Zhu Dan Wang Zhu Han 31 1 0 19 Apr 2024
Federated Causal Discovery from Heterogeneous Data Loka Li Ignavier Ng Gongxu Luo Biwei Huang Guan-Hong Chen Tongliang Liu Bin Gu Kun Zhang FedML 24 5 0 20 Feb 2024
Federated Causality Learning with Explainable Adaptive Optimization Dezhi Yang Xintong He Jun Wang Guoxian Yu C. Domeniconi Jinglin Zhang FedML CML 10 6 0 09 Dec 2023
Towards Practical Federated Causal Structure Learning Zhaoyu Wang Pingchuan Ma Shuai Wang 23 5 0 15 Jun 2023
Bayesian Federated Learning: A Survey LongBing Cao Hui Chen Xuhui Fan João Gama Yew-Soon Ong Vipin Kumar FedML 13 21 0 26 Apr 2023
On Learning Time Series Summary DAGs: A Frequency Domain Approach Aramayis Dallakyan CML AI4TS 6 3 0 17 Apr 2023
Structure Learning with Continuous Optimization: A Sober Look and Beyond Ignavier Ng Biwei Huang Kun Zhang CML 6 21 0 04 Apr 2023
Directed Acyclic Graphs With Tears Zhichao Chen Zhiqiang Ge CML 8 5 0 04 Feb 2023
Learning Personalized Brain Functional Connectivity of MDD Patients from Multiple Sites via Federated Bayesian Networks Shuai Liu Xiao Guo S. Qi Huan Wang Xiangyu Chang FedML 17 2 0 06 Jan 2023
Towards Privacy-Aware Causal Structure Learning in Federated Setting Jianli Huang Xianjie Guo Kui Yu Fuyuan Cao Jiye Liang FedML 8 9 0 13 Nov 2022
Federated Causal Discovery From Interventions Amin Abyaneh Nino Scherrer Patrick Schwab Stefan Bauer Bernhard Schölkopf Arash Mehrjou FedML 11 0 0 07 Nov 2022
VertiBayes: Learning Bayesian network parameters from vertically partitioned data with missing values Florian Van Daalen Lianne Ippel Andre Dekker Inigo Bermejo FedML 11 3 0 31 Oct 2022
On the Sparse DAG Structure Learning Based on Adaptive Lasso Danru Xu Erdun Gao Wei Huang Menghan Wang Andy Song Mingming Gong CML 6 4 0 07 Sep 2022
Multiscale Causal Structure Learning Gabriele DÁcunto P. Lorenzo Sergio Barbarossa 30 4 0 16 Jul 2022
Differentiable and Transportable Structure Learning Jeroen Berrevoets Nabeel Seedat F. Imrie M. Schaar 6 2 0 13 Jun 2022
Differentiable Invariant Causal Discovery Yu-Xiang Wang An Zhang Xiang Wang Yancheng Yuan Xiangnan He Tat-Seng Chua OOD CML 14 2 0 31 May 2022
Distributed Learning of Generalized Linear Causal Networks Qiaoling Ye Arash A. Amini Qing Zhou CML OOD AI4CE 11 16 0 23 Jan 2022
FedDAG: Federated DAG Structure Learning Erdun Gao Junjia Chen Li Shen Tongliang Liu Mingming Gong H. Bondell FedML 22 17 0 07 Dec 2021
On the Role of Entropy-based Loss for Learning Causal Structures with Continuous Optimization Weilin Chen Jie Qiao Ruichu Cai Z. Hao CML 20 1 0 05 Jun 2021
On the Convergence of Continuous Constrained Optimization for Structure Learning Ignavier Ng Sébastien Lachapelle Nan Rosemary Ke Simon Lacoste-Julien Kun Zhang 16 31 0 23 Nov 2020
DAGs with No Fears: A Closer Look at Continuous Optimization for Learning Bayesian Networks Dennis L. Wei Tian Gao Yue Yu CML 48 71 0 18 Oct 2020
Masked Gradient-Based Causal Structure Learning Ignavier Ng Shengyu Zhu Zhuangyan Fang Haoyang Li Zhitang Chen Jun Wang CML 72 116 0 18 Oct 2019
Learning Sparse Nonparametric DAGs Xun Zheng Chen Dan Bryon Aragam Pradeep Ravikumar Eric P. Xing CML 96 254 0 29 Sep 2019