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cs.LG2023★ 1 cited
Regularized Linear Regression for Binary Classification
Danil Akhtiamov, Reza Ghane, Babak Hassibi
Regularized linear regression is a promising approach for binary classification problems in which the training set has noisy labels since the regularization term can help to avoid…
cs.LG2023
The Generalization Error of Stochastic Mirror Descent on Over-Parametrized Linear Models
Danil Akhtiamov, Babak Hassibi
Despite being highly over-parametrized, and having the ability to fully interpolate the training data, deep networks are known to generalize well to unseen data. It is now understo…