Explore a 21-minute IEEE conference talk on Sparse Principal Component Analysis (PCA), covering algorithms, adversarial perturbations, and certificates. Gain insights from experts Tommaso d'Orsi, Pravesh K. Kothari, Gleb Novikov, and David Steurer as they delve into this important topic in data analysis and machine learning.
Sparse PCA: Algorithms, Adversarial Perturbations and Certificates
Overview
Syllabus
Sparse PCA: algorithms, adversarial perturbations and certificates
Taught by
IEEE FOCS: Foundations of Computer Science
