Causal Discovery Algorithm

Causal discovery algorithms aim to infer cause-and-effect relationships from observational data, moving beyond simple correlations to reveal underlying mechanisms. Current research focuses on improving the accuracy and efficiency of these algorithms, particularly for high-dimensional data and time series, employing methods like constraint-based approaches (e.g., PC algorithm), score-based methods (e.g., GES), and those leveraging linear non-Gaussian acyclic models (LiNGAM) or neural networks. These advancements are significant for diverse fields, enabling more robust causal inference in areas such as biology, healthcare, and engineering, leading to better understanding of complex systems and improved decision-making.

Papers

May 31, 2023

Causal discovery for time series with constraint-based model and PMIME measure
Antonin Arsac, Aurore Lomet, Jean-Philippe Poli
Time Series Causal Discovery Causal Graph Multivariate Time Series Causal Pattern Causal Discovery Algorithm Constraint Model

May 28, 2023

Understanding Breast Cancer Survival: Using Causality and Language Models on Multi-omics Data
Mugariya Farooq, Shahad Hardan, Aigerim Zhumbhayeva, Yujia Zheng, Preslav Nakov, Kun Zhang
Language Model Causal Discovery Causal Pattern Causal Discovery Method Multi Omics Data Causal Discovery Algorithm

May 22, 2023

A Diachronic Analysis of Paradigm Shifts in NLP Research: When, How, and Why?
Aniket Pramanick, Yufang Hou, Saif M. Mohammad, Iryna Gurevych
Causal Discovery NLP Field NLP Research Causal Knowledge Causal Discovery Algorithm Paradigm Shift Diachronic Perspective

May 17, 2023

Risk Assessment of Lymph Node Metastases in Endometrial Cancer Patients: A Causal Approach
Alessio Zanga, Alice Bernasconi, Peter J. F. Lucas, Hanny Pijnenborg, Casper Reijnen, Marco Scutari, Fabio Stella
Risk Assessment Causal Discovery Algorithm Causal Approach Lymph Node Causal Bayesian Network

May 9, 2023

Causal Discovery from Subsampled Time Series with Proxy Variables
Mingzhou Liu, Xinwei Sun, Lingjing Hu, Yizhou Wang
Causal Discovery Causal Structure Subsampling Method Causal Discovery Algorithm Unobserved Node Data Driven Causal

April 6, 2023

Causal Discovery with Score Matching on Additive Models with Arbitrary Noise
Francesco Montagna, Nicoletta Noceti, Lorenzo Rosasco, Kun Zhang, Francesco Locatello
Causal Discovery Causal Graph Score Matching Causal Discovery Method Additive Model Causal Discovery Algorithm Noise Distribution

March 27, 2023

A Survey on Causal Discovery Methods for I.I.D. and Time Series Data
Uzma Hasan, Emam Hossain, Md Osman Gani
Timely Survey Causal Discovery Time Series Data Causal Relation Causal Discovery Method Cause Effect Causal Discovery Algorithm

February 15, 2023

CUTS: Neural Causal Discovery from Irregular Time-Series Data
Yuxiao Cheng, Runzhao Yang, Tingxiong Xiao, Zongren Li, Jinli Suo, Kunlun He, Qionghai Dai
Causal Discovery Causal Graph Granger Causality Causal Discovery Algorithm Cut and Approximate Irregular Time Series

January 22, 2023

Characterization and Learning of Causal Graphs with Small Conditioning Sets
Murat Kocaoglu
LeArning Abstract Causal Discovery Causal Graph New Characterization Causal Discovery Algorithm Constraint Based Causal Discovery

October 29, 2022

Causal Discovery of Dynamic Models for Predicting Human Spatial Interactions
Luca Castri, Sariah Mghames, Marc Hanheide, Nicola Bellotto
Human Robot Interaction Causal Discovery Causal Model Dynamic Model Causal Discovery Method Causal Discovery Algorithm Temporal Interaction

September 18, 2022

Bivariate Causal Discovery for Categorical Data via Classification with Optimal Label Permutation
Yang Ni
Classification Code Causal Discovery Categorical Data Cause Effect Causal Discovery Algorithm Novel Causal Model

May 11, 2022

Causal discovery under a confounder blanket
David S. Watson, Ricardo Silva
Causal Discovery Causal Relationship Unobserved Confounders Causal Discovery Algorithm Causal Order

April 11, 2022

Causal Discovery and Causal Learning for Fire Resistance Evaluation: Incorporating Domain Knowledge
M. Z. Naser, Aybike Ozyuksel Ciftcioglu
Causal Inference Causal Discovery Domain Knowledge Causal Structure Causal Learning Causal Discovery Algorithm

March 29, 2022

Causal de Finetti: On the Identification of Invariant Causal Structure in Exchangeable Data
Siyuan Guo, Viktor Tóth, Bernhard Schölkopf, Ferenc Huszár
Causal Discovery Person Identification Causal Structure Conditional Independence Causal Discovery Method Causal Discovery Algorithm Invariant Causal Feature De Finetti

February 23, 2022

Investigating the effect of binning on causal discovery
Andrew Colt Deckert, Erich Kummerfeld
Mixed Effect Causal Discovery Data Stream Causal Discovery Algorithm Bin Picking Greedy Equivalence Search

December 15, 2021

Characterization of causal ancestral graphs for time series with latent confounders
Andreas Gerhardus
Time Series Causal Relationship New Characterization Graphical Model Latent Confounders Causal Discovery Algorithm Markov Equivalence Class Ancestral Graph