Lockout: Sparse Regularization of Neural Networks

Gilmer Valdes, Wilmer Arbelo, Yannet Interian +1

Many regression and classification procedures fit a parameterized function $f(x;w)$ of predictor variables $x$ to data $\{x_i,y_i{\}}_1^N$ based on some loss criterion $L(y,f)$.…