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EGGROLL, Unrolled: Understanding and Improving Low-Rank Evolution Strategies at Scale

This story is from 2026-09-11. It is preserved in the archive; the latest stories are on the live feed.

arXiv:2609.10980v1 Announce Type: new Abstract: EGGROLL makes evolution strategies (ES) practical for LLMs by replacing dense Gaussian weight perturbations with low-rank Gaussian products, often of rank one. This choice is computationally attractive but geometrically severe: each rank-one perturbat…

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  1. 2026-09-11 04:00 · arXiv cs.LG
    EGGROLL, Unrolled: Understanding and Improving Low-Rank Evolution Strategies at Scale

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