Non-negative least squares for high-dimensional linear models: consistency and sparse recovery without regularization

Martin Slawski, Matthias Hein

Least squares fitting is in general not useful for high-dimensional linear models, in which the number of predictors is of the same or even larger order of magnitude than the numbe…