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Data Supplement to the paper "Scalable Structure Learning for Sparse Context-Specific Systems"

Year: 2024

Type: preprint

Abstract: Precomputed simulation results for the CSlearn paper. Contains structure estimates, timing data, KL divergence and SHD evaluations, full joint distributions, and sensitivity analysis results for all methods and parameter settings used in the experiments. Enables reproduction of all figures and aggregated CSVs, as well as any further analysis of individual runs, without rerunning the full pipeline.

Source: arXiv (Cornell University)

DOI: 10.48550/arxiv.2402.07762

Authors: Rios, Felix Leopoldo, Markham, Alex, Solus, Liam

Language: English

Topic: Bayesian Modeling and Causal Inference

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

Funders: Göran Gustafssons Stiftelser, Knut och Alice Wallenbergs Stiftelse, Vetenskapsrådet

OpenAlex ID: W4391799221

Cites:

Cited by: 1

Related to: 10