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News/Zeroth-Order Optimization at the Edge of Stability
arxiv
PublishedJuly 2, 2026 at 4:00 AM
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Zeroth-Order Optimization at the Edge of Stability

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arXiv:2604.14669v2 Announce Type: replace Abstract: Zeroth-order (ZO) methods are widely used when gradients are unavailable or prohibitively expensive, including black-box learning and memory-efficient fine-tuning of large models, yet their optimization dynamics in deep learning remain underexplore

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