
This project provides a mathematically rigorous treatment and production-style implementation of the L2 regularization ridge regression optimization algorithm, including theoretical derivation, convergence analysis, and numerical experiments.
If you use this project in research or academic work, please cite it using the information below.
machine-learning, ridge regression, large-scale-optimization, optimization, numerical-optimization, L2 regularization
machine-learning, ridge regression, large-scale-optimization, optimization, numerical-optimization, L2 regularization
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
