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# Bayesian Optimisation over the Hyperparameters
In this section we are concerned with the our model hyperparameters.
## Kernel Approximation Hyperparameters
- Sparse features:
-
## SGD Hyperparameters
- \(\boldsymbol{\alpha}\): the descent rate of our gradient method.
- \(\boldsymbol{\lambda}_1\): regularisation parameter (\(\mathcal{l}_1\) norm).
- \(\boldsymbol{\lambda}_2\): regularisation parameter (\(\mathcal{l}_2\) norm).
