Slowly Varying Regression under Sparsity

Dimitris Bertsimas, Vassilis Digalakis, Michael Linghzi Li +1

We present the framework of slowly varying regression under sparsity, allowing sparse regression models to exhibit slow and sparse variations. The problem of parameter estimation i…