Discovering Dynamic Causal Space for DAG Structure Learning
Discovering Dynamic Causal Space for DAG Structure Learning
About this item
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Author / Creator
Liu, Fangfu , Ma, Wenchang , Zhang, An , Wang, Xiang , Duan, Yueqi and Tat-Seng Chua
Publisher
Ithaca: Cornell University Library, arXiv.org
Journal title
Language
English
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Publication information
Publisher
Ithaca: Cornell University Library, arXiv.org
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Scope and Contents
Contents
Discovering causal structure from purely observational data (i.e., causal discovery), aiming to identify causal relationships among variables, is a fundamental task in machine learning. The recent invention of differentiable score-based DAG learners is a crucial enabler, which reframes the combinatorial optimization problem into a differentiable op...
Alternative Titles
Full title
Discovering Dynamic Causal Space for DAG Structure Learning
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Author / Creator
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Record Identifier
TN_cdi_proquest_journals_2822886349
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2822886349
Other Identifiers
E-ISSN
2331-8422
DOI
10.48550/arxiv.2306.02822
