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A fast PC algorithm for high dimensional causal discovery with multi-core PCs

9 February 2015

Papers citing "A fast PC algorithm for high dimensional causal discovery with multi-core PCs"

23 / 23 papers shown

Title
Causality Is Key to Understand and Balance Multiple Goals in Trustworthy ML and Foundation Models Ruta Binkyte Ivaxi Sheth Zhijing Jin Mohammad Havaei Bernhard Schölkopf Mario Fritz 553 1 0 28 Feb 2025
Learning Identifiable Structures Helps Avoid Bias in DNN-based Supervised Causal Learning Jiaru Zhang Rui Ding Qiang Fu Bojun Huang Zizhen Deng Yang Hua Haibing Guan Shi Han Dongmei Zhang CML 77 0 0 15 Feb 2025
Root Cause Attribution of Delivery Risks via Causal Discovery with Reinforcement Learning Shi Bo 125 7 0 11 Aug 2024
Causal Discovery over High-Dimensional Structured Hypothesis Spaces with Causal Graph Partitioning Ashka Shah Adela DePavia Nathaniel Hudson Ian Foster Rick L. Stevens CML 60 1 0 10 Jun 2024
Recursive Causal Discovery Ehsan Mokhtarian Sepehr Elahi S. Akbari Negar Kiyavash CML 77 2 0 14 Mar 2024
A Survey on Causal Discovery: Theory and Practice Alessio Zanga Fabio Stella CML 77 45 0 17 May 2023
pgmpy: A Python Toolkit for Bayesian Networks Ankur Ankan J. Textor GP 71 17 0 17 Apr 2023
Causal Discovery and Optimal Experimental Design for Genome-Scale Biological Network Recovery Ashka Shah A. Ramanathan Valérie Hayot-Sasson Rick L. Stevens CML 26 1 0 06 Apr 2023
Fast Parallel Bayesian Network Structure Learning Jiantong Jiang Zeyi Wen Ajmal Mian 56 6 0 08 Dec 2022
Granger Causal Chain Discovery for Sepsis-Associated Derangements via Continuous-Time Hawkes Processes S. Wei Yao Xie C. Josef Rishikesan Kamaleswaran 120 10 0 09 Sep 2022
Causal Discovery for Fairness Ruta Binkyt.e-Sadauskien.e K. Makhlouf Carlos Pinzón Sami Zhioua C. Palamidessi CML 73 18 0 14 Jun 2022
The Dual PC Algorithm and the Role of Gaussianity for Structure Learning of Bayesian Networks Enrico Giudice Jack Kuipers G. Moffa CML 137 5 0 16 Dec 2021
gCastle: A Python Toolbox for Causal Discovery Keli Zhang Shengyu Zhu Marcus Kalander Ignavier Ng Junjian Ye Zhitang Chen Lujia Pan CML 127 61 0 30 Nov 2021
ParaLiNGAM: Parallel Causal Structure Learning for Linear non-Gaussian Acyclic Models Amirhossein Shahbazinia Saber Salehkaleybar Matin Hashemi CML 90 8 0 28 Sep 2021
A Fast PC Algorithm with Reversed-order Pruning and A Parallelization Strategy Kai Zhang Chao Tian Kun Zhang Todd Johnson Xiaoqian Jiang CML 67 4 0 10 Sep 2021
Data-driven discovery of interpretable causal relations for deep learning material laws with uncertainty propagation Xiao Sun B. Bahmani Nikolaos N. Vlassis WaiChing Sun Yanxun Xu CML AI4CE 116 26 0 20 May 2021
Partitioned hybrid learning of Bayesian network structures Jireh Huang Qing Zhou TPM 68 9 0 22 Mar 2021
D'ya like DAGs? A Survey on Structure Learning and Causal Discovery M. Vowels Necati Cihan Camgöz Richard Bowden CML 147 305 0 03 Mar 2021
ParKCa: Causal Inference with Partially Known Causes Raquel Y. S. Aoki Martin Ester CML 70 5 0 17 Mar 2020
cuPC: CUDA-based Parallel PC Algorithm for Causal Structure Learning on GPU Behrooz Zarebavani Foad Jafarinejad Matin Hashemi Saber Salehkaleybar 113 32 0 20 Dec 2018
A Survey of Learning Causality with Data: Problems and Methods Ruocheng Guo Lu Cheng Jundong Li P. R. Hahn Huan Liu CML 88 168 0 25 Sep 2018
Causal Discovery in the Presence of Missing Data Ruibo Tu Cheng Zhang P. Ackermann Bo Christer Bertilson Clark Glymour Hedvig Kjellström Kun Zhang CML 82 65 0 11 Jul 2018
Survey on Models and Techniques for Root-Cause Analysis Marc Solé V. Muntés-Mulero Annie Ibrahim Rana G. Estrada 56 94 0 30 Jan 2017