Sparse PCA: Algorithms, Adversarial Perturbations and Certificates
Offered By: IEEE via YouTube
Course Description
Overview
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.
Syllabus
Sparse PCA: algorithms, adversarial perturbations and certificates
Taught by
IEEE FOCS: Foundations of Computer Science
Tags
Related Courses
Introduction to Artificial IntelligenceStanford University via Udacity Natural Language Processing
Columbia University via Coursera Probabilistic Graphical Models 1: Representation
Stanford University via Coursera Computer Vision: The Fundamentals
University of California, Berkeley via Coursera Learning from Data (Introductory Machine Learning course)
California Institute of Technology via Independent