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High-dimensional learning of narrow neural networks
H Cui - arxiv preprint arxiv:2409.13904, 2024 - arxiv.org
Recent years have been marked with the fast-pace diversification and increasing ubiquity of
machine learning applications. Yet, a firm theoretical understanding of the surprising …
machine learning applications. Yet, a firm theoretical understanding of the surprising …
High-dimensional learning of narrow neural networks
H Cui - Journal of Statistical Mechanics: Theory and …, 2025 - iopscience.iop.org
Recent years have been marked with the fast-pace diversification and increasing ubiquity of
machine learning (ML) applications. Yet, a firm theoretical understanding of the surprising …
machine learning (ML) applications. Yet, a firm theoretical understanding of the surprising …
Exact Risk Curves of signSGD in High-Dimensions: Quantifying Preconditioning and Noise-Compression Effects
KL **ao, N Marshall, A Agarwala… - arxiv preprint arxiv …, 2024 - arxiv.org
In recent years, signSGD has garnered interest as both a practical optimizer as well as a
simple model to understand adaptive optimizers like Adam. Though there is a general …
simple model to understand adaptive optimizers like Adam. Though there is a general …