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Alexei Novikov

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#machine learning Preprint Sep 2026

Iterative Atom Refinement: A Monotonicity Principle for Dictionary Learning

This work introduces the Iterative Atom Refinement algorithm, a simple procedure for recovering individual dictionary atoms, and presents a rigorous convergence theory of IAR, showing that a small initial advantage of one atom is amplified until that atom is isolated.

Alexander Christie, Miguel Moscoso, Alexei Novikov et al. · 0 citations

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