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ASGO: Adaptive Structured Gradient Optimization

arXiv — cs.LG•Thursday, October 30, 2025 at 4:00:00 AM
NeutralArtificial Intelligence
The recent paper on Adaptive Structured Gradient Optimization (ASGO) highlights the importance of structured optimization in training deep neural networks. It points out that the parameters of these networks are best represented as matrices and tensors, which can lead to more efficient optimization algorithms. This matters because leveraging the low-rank nature of gradients and the block diagonal approximation of Hessians can significantly enhance the performance of neural network training, potentially leading to faster and more effective models.
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