Shuaiwen Wang

Approximate Leave-One-Out for Fast Parameter Tuning in High Dimensions

We study the parameter tuning problem for the penalized regression model. Finding the optimal choice of the regularization parameter is a challenging problem in high-dimensional regimes where both the number of observations n and the number of parameters p are large. We propose two frameworks to obt…