Learning under Quantization for High-Dimensional Linear Regression
arXiv:2510.18259v2 Announce Type: replace-cross Abstract: The use of low-bit quantization has emerged as an indispensable technique for enabling the efficient training of large-scale models. Despite its widespread empirical success, a rigorous theoretical understanding of its ...
🔗 Read more: https://arxiv.org/abs/2510.18259
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