Interpreting eigenvalue models
Alex Shtoff
Intro We continue our discussion of machine-learned models of the form \[f({\boldsymbol x};{\boldsymbol A}_{0:n}) = \lambda_k \Bigl({\boldsymbol A}_0 + \sum_{i=1}^n x_i {\boldsymbol A}_i\Bigr),\] where \({\boldsymbol A}_i\) are learned symmetric matrices, and \(\lambda_k\) is the \(k\)-th...