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Explore a 21-minute IEEE conference talk delving into 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 discuss advanced concepts in this important area of machine learning and data analysis.
Syllabus
Sparse PCA: algorithms, adversarial perturbations and certificates
Taught by
IEEE FOCS: Foundations of Computer Science