Author

Zhaosong Lu

2 papers indexed here

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#artificial intelligence Oct 2025

Accelerated stochastic first-order method for convex optimization under heavy-tailed noise

This paper establishes that an accelerated stochastic proximal subgradient method achieves a first-order oracle complexity for finding an approximate optimal solution in expectation that is universally optimal for smooth, weakly smooth, and nonsmooth convex optimization, as well as for stochastic convex optimization un...

Chuan He, Bo-Wen Li, Zhaosong Lu · arXiv.org · 5 citations · ⚡1

#machine learning Sep 2025

Low-rank Orthogonalization for Large-scale Matrix Optimization with Applications to Foundation Model Training

Low-rank orthogonalization is proposed, which performs orthogonalization by leveraging the low-rank nature of gradients during NN training by leveraging the low-rank nature of gradients during NN training.

Chuan He, Zhanwang Deng, Zhaosong Lu · arXiv.org · 20 citations · ⚡2