Statistics Seminar: Distance-to-set regularization for inference under constraints
Presenter: Jason Xu, Associate Professor, Department of Biostatistics, UCLA Description: We consider a penalty framework based on regularizing the squared distance to set-based constraints for several core statistical tasks. These distance-to-set penalties provide a simple and flexible way to cast constrained optimization problems in more tractable unconstrained forms. We will see that they often avoid […]