Improvement of the SAM algorithm based on causal structure analysis
In response to the computational complexity issue of the directed acyclic graph constraint in the Structure-Agnostic Model (SAM), we have proposed an innovative solution: an improved algorithm for the directed acyclic graph constraint based on continuous optimization. This algorithm, while maintaini...
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| Published in | Proceedings of SPIE, the international society for optical engineering Vol. 13486; pp. 134862P - 134862P-8 |
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| Main Authors | , , |
| Format | Conference Proceeding |
| Language | English |
| Published |
SPIE
09.01.2025
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| Online Access | Get full text |
| ISBN | 1510687610 9781510687615 |
| ISSN | 0277-786X |
| DOI | 10.1117/12.3055811 |
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| Summary: | In response to the computational complexity issue of the directed acyclic graph constraint in the Structure-Agnostic Model (SAM), we have proposed an innovative solution: an improved algorithm for the directed acyclic graph constraint based on continuous optimization. This algorithm, while maintaining the original acyclic constraint conditions, ingeniously introduces a hyperparameter α as an important component of the constraint. This improvement not only effectively reduces the computational complexity but also enhances the precision of the calculations to a certain extent. |
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| Bibliography: | Conference Date: 2024-08-30|2024-09-01 Conference Location: Chengdu, China |
| ISBN: | 1510687610 9781510687615 |
| ISSN: | 0277-786X |
| DOI: | 10.1117/12.3055811 |