Initialization ideas

Spectral subspace initialization for nonlinear teachers

Use a bounded function of the response to form a supervised, label-weighted covariance of the input and initialize the first neural layer from its leading outlier eigenspace. For vector-valued responses, use a matrix-valued response preprocessing map so several label statistics are combined in one lifted spectral estimator.