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An Oracle Inequality for Quasi-Bayesian Non-Negative Matrix Factorization

arXiv 1601.01345 ↗First posted 6 Jan 2016stat.ML math.ST stat.THcited by 1

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Abstract (arXiv)

The aim of this paper is to provide some theoretical understanding of quasi-Bayesian aggregation methods non-negative matrix factorization. We derive an oracle inequality for an aggregated estimator. This result holds for a very general class of prior distributions and shows how the prior affects the rate of convergence.

Key facts. Cited by 1 paper in the map (data through 7 Oct 2026). First posted on arXiv 6 Jan 2016.

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