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Results tagged with regularization
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user 188037
Inclusion of additional constraints (typically a penalty for complexity) in the model fitting process. Used to prevent overfitting / enhance predictive accuracy.
2
votes
Avoid overfitting in regression: alternatives to regularization
What is regularization, really?
Perhaps you are conflating L1/L2 regularization (aka. … Lasso/ridge regression, Tikhonov regularization...), the most ubiquitous type, as the only type of regularization 🤔
Regularization is actually anything that prevents overfitting, that you can do to a …
22
votes
Why is Laplace prior producing sparse solutions?
\begin{align*}
{\bf \hat{\theta}_{\text{MLE}}} &= \arg\max_{\bf \theta} \log P(y | \theta) \\
&=\underset{\theta}{\arg\min} \sum_{i=1}^n(y_i - \theta^\top{\mathbf{x}_i})^2
\end{align*}
Regularization … Similarly, if $P(\theta)$ is a Gaussian distribution, it's equivalent to L2 regularization on $\theta$. …