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stat.ML2026

Improved Analysis of the Accelerated Noisy Power Method with Applications to Decentralized PCA

Pierre Aguié, Mathieu Even, Laurent Massoulié

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…

stat.ML2025

Concentration of Non-Isotropic Random Tensors with Applications to Learning and Empirical Risk Minimization

Mathieu Even, Laurent Massoulié

Dimension is an inherent bottleneck to some modern learning tasks, where optimization methods suffer from the size of the data. In this paper, we study non-isotropic distributions…