2026
Improved Analysis of the Accelerated Noisy Power Method with Applications to Decentralized PCA
ICML 2026poster
We analyze the Accelerated Noisy Power Method, an algorithm for Principal Component Analysis in the setting where only inexact matrix-vector products are available, which can arise for instance in decentralized PCA. While previous works have established that acceleration can improve convergence rate…