Based Causal Discovery

Based causal discovery aims to infer causal relationships from observational data, focusing on developing robust algorithms that accurately reconstruct causal graphs despite complexities like hidden confounders and noisy data. Current research emphasizes improving score-based methods, often employing kernel-based approaches or neural networks, and incorporating prior knowledge to constrain the search space and enhance efficiency. These advancements are crucial for reliable causal inference across diverse scientific domains and applications, enabling better understanding of complex systems and more effective decision-making.

Papers

July 18, 2024

Sortability of Time Series Data
Christopher Lohse, Jonas Wahl
Time Series Data Causal Relationship Auxiliary Sorting Network Rearranges Causal Discovery Algorithm Based Causal Discovery

July 14, 2024

Optimal Kernel Choice for Score Function-based Causal Discovery
Wenjie Wang, Biwei Huang, Feng Liu, Xinge You, Tongliang Liu, Kun Zhang, Mingming Gong
Causal Discovery Causal Structure Causal Relationship Kernel Selection Optimal Kernel Based Causal Discovery

July 8, 2024

PORCA: Root Cause Analysis with Partially Observed Data
Chang Gong, Di Yao, Jin Wang, Wenbin Li, Lanting Fang, Yongtao Xie, Kaiyu Feng, Peng Han, Jingping Bi
Root Cause Unobserved Confounders Based Causal Discovery

October 27, 2023

Sample Complexity Bounds for Score-Matching: Causal Discovery and Generative Modeling
Zhenyu Zhu, Francesco Locatello, Volkan Cevher
Generative Modeling Causal Discovery Score Based Generative Score Matching Sample Complexity Bound Based Causal Discovery

May 26, 2023

Learning Causal Graphs via Monotone Triangular Transport Maps
Sina Akbari, Luca Ganassali, Negar Kiyavash
Causal Discovery Causal Graph Causal Structure Structural Causal Transport Map Based Causal Discovery

April 11, 2023

KGS: Causal Discovery Using Knowledge-guided Greedy Equivalence Search
Uzma Hasan, Md Osman Gani
Causal Discovery Causal Graph Based Causal Discovery Greedy Equivalence Search

March 6, 2023

Boosting Differentiable Causal Discovery via Adaptive Sample Reweighting
An Zhang, Fangfu Liu, Wenchang Ma, Zhibo Cai, Xiang Wang, Tat-seng Chua
High Dimensional Causal Discovery Adaptive Weight Sample Reweighting Differentiable Causal Discovery Based Causal Discovery

August 17, 2022

Domain Knowledge in A*-Based Causal Discovery
Steven Kleinegesse, Andrew R. Lawrence, Hana Chockler
Causal Discovery Domain Knowledge Causal Relationship Constraint Based Causal Discovery Based Causal Discovery Gradient Faithfulness