ImplicitRegularizationinMatrixSensingviaMirror Descent

Most of the literature on matrix sensing is based on some form of explicit regularization or rank constraint to encourage or enforce low-rankness of the estimated matrix. A popular approach is based onminimizing thenuclear norm oronusing explicit regularization techniques based onthe nuclear norm, e.g.