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Tetiana Parshakova

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Preprint Jul 2026

PoLoRA: A Preconditioned Orthogonalized LoRA Optimizer

PoLoRA is introduced, a Preconditioned Orthogonalized LoRA optimizer built from three ingredients: a product-aware spectral update direction, curvature preconditioning derived from controlling the per-sample loss change, and a magnitude rule that controls the sizes of both the factor and merged updates.

Nikhil Ghosh, Tetiana Parshakova, Robert M. Gower · 1 citation