Author

Pierre-Louis Poirion

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#machine learning Preprint Sep 2026

Gradient Descent with Stochastic Subspaces via Persistence of Memory

This paper introduces the technique of "persistence of memory" to greatly extend and improve the random subspace methods, and establishes to the knowledge the first theoretical analysis of classical SSD methods for sparse functions.

Subhroshekhar Ghosh, Clement Z. Q. Ng, Pierre-Louis Poirion et al. · 0 citations