A Dimension-Independent Generalization Bound for Kernel Supervised Principal Component Analysis

Hassan Ashtiani, Ali Ghodsi

Abstract: Kernel supervised principal component analysis (KSPCA) is a computationally efficient supervised feature extraction method that can learn non-linear transformations. We start the study of the stati...