Unbiased Estimation of the Spectral Properties of Large Implicit Matrices

Unbiased Estimation of the Spectral Properties of Large Implicit Matrices

Explore a 36-minute lecture from the Simons Institute's "Computational Challenges in Machine Learning" series, featuring Harvard University's Ryan Adams. Delve into the complex topic of unbiased estimation of spectral properties in large implicit matrices, gaining insights into advanced mathematical concepts and their applications in machine learning and data analysis.