Sparse Causal

Sparse causal discovery focuses on identifying cause-and-effect relationships from data where only a limited number of variables directly influence each other, represented as sparse directed acyclic graphs (DAGs). Current research emphasizes developing robust and scalable algorithms, including differentiable methods and those leveraging structural equation models or Hawkes processes, to infer these sparse causal structures from observational and interventional data, even in high-dimensional settings. This work is significant because accurately identifying sparse causal relationships is crucial for understanding complex systems in various fields, improving the accuracy of predictions, and enabling targeted interventions.

Papers

October 2, 2024

Induced Covariance for Causal Discovery in Linear Sparse Structures
Saeed Mohseni-Sehdeh, Walid Saad
Causal Discovery Causal Model Causal Relationship Cause Effect Sparse Structure Covariance Conditioning Causal Discovery Algorithm Sparse Causal

March 18, 2024

Causality-Aware Spatiotemporal Graph Neural Networks for Spatiotemporal Time Series Imputation
Baoyu Jing, Dawei Zhou, Kan Ren, Carl Yang
Causal Attention Spatiotemporal Graph Time sEries Sparse Causal

January 10, 2024

Nonparametric Partial Disentanglement via Mechanism Sparsity: Sparse Actions, Interventions and Sparse Temporal Dependencies
Sébastien Lachapelle, Pau Rodríguez López, Yash Sharma, Katie Everett, Rémi Le Priol, Alexandre Lacoste, Simon Lacoste-Julien
Temporal Dependency Disentanglement Capability Health Intervention Disentanglement Framework Sparse Mechanism Sparse Causal

November 17, 2023

Stable Differentiable Causal Discovery
Achille Nazaret, Justin Hong, Elham Azizi, David Blei
Causal Relationship Differentiable Causal Discovery Sparse Causal

May 11, 2023

Reinterpreting causal discovery as the task of predicting unobserved joint statistics
Dominik Janzing, Philipp M. Faller, Leena Chennuru Vankadara
Causal Discovery Related Task Causal Model Unobserved Variable Partial Correlation Sparse Causal

August 23, 2022

Cardinality-Regularized Hawkes-Granger Model
Tsuyoshi Idé, Georgios Kollias, Dzung T. Phan, Naoki Abe
Hawkes Process Granger Causality Sparse Causal Instance Level Causal

June 15, 2022

Large-Scale Differentiable Causal Discovery of Factor Graphs
Romain Lopez, Jan-Christian Hütter, Jonathan K. Pritchard, Aviv Regev
Causal Discovery Causal Graph Factor Graph Differentiable Causal Discovery Sparse Causal