Sparse Principal Component Analysis with Non-Oblivious Adversarial Perturbations

Yuqing He, Guanyi Wang, Yu Yang

Sparse Principal Component Analysis (sparse PCA) is a fundamental dimension-reduction tool that enhances interpretability in various high-dimensional settings. An important variant…