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Stiefel-AdamW: Geometry-Aware AdamW for Linear Factorization Blocks

arXiv:2609.21039v1 Announce Type: new Abstract: A pervasive structural pattern in modern deep learning is the linear factorization block: a submodule of the form $W = BA$ in which two parameter matrices are multiplied directly, with no intervening nonlinearity. Such blocks appear in LoRA adapters,…

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  1. 2026-09-21 04:00 · arXiv cs.LG
    Stiefel-AdamW: Geometry-Aware AdamW for Linear Factorization Blocks

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