Feature learning from non-Gaussian inputs: the case of Independent Component Analysis in high dimensions

Fabiola Ricci; Lorenzo Bardone; Sebastian Goldt

2025 ICML ICML 2025

Feature learning from non-Gaussian inputs: the case of Independent Component Analysis in high dimensions

Abstract

No abstract available. No abstract was captured for this paper when its proceedings were scraped - most often an older edition published without one online. How the corpus is built.

Authors

Fabiola Ricci, Lorenzo Bardone, Sebastian Goldt

Topics

Machine Learning > Core Methods > Representation Learning Machine Learning > Optimization & Theory > Optimization Deep Learning > Architectures > Neural Networks

Keywords

stochastic gradient descent independent component analysis sample complexity imagenet fastica non-gaussianity

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