A Structured-Surrogate Double-Model Approach to Regularization Parameter Selection
- DOI
- 10.48550/arxiv.2611.09158
- Published
- 2026
- Container
- Not recorded
- Publisher
- arXiv
- Open access
- no
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Cite this work
BibTeX
@article{allodium:10.48550/arxiv.2611.09158,
title = {A Structured-Surrogate Double-Model Approach to Regularization Parameter Selection},
author = {Español, Malena and Juvonen, Markus and Siltanen, Samuli and Trombini, Ilaria and Wu, Chuyang},
year = {2026},
doi = {10.48550/arxiv.2611.09158},
url = {https://doi.org/10.48550/arxiv.2611.09158}
}RIS
TY - JOUR TI - A Structured-Surrogate Double-Model Approach to Regularization Parameter Selection AU - Español, Malena AU - Juvonen, Markus AU - Siltanen, Samuli AU - Trombini, Ilaria AU - Wu, Chuyang PY - 2026 DO - 10.48550/arxiv.2611.09158 UR - https://doi.org/10.48550/arxiv.2611.09158 ER -
APA
Malena, E., Markus, J., Samuli, S., Ilaria, T., & Chuyang, W. (2026). A Structured-Surrogate Double-Model Approach to Regularization Parameter Selection. https://doi.org/10.48550/arxiv.2611.09158
Source records
- datacite · retrieved 2026-11-10T12:43:05.360Z