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cs.LG2026
Optimizer choice matters for the emergence of Neural Collapse
Jim Zhao, Tin Sum Cheng, Wojciech Masarczyk +1
Neural Collapse (NC) refers to the emergence of highly symmetric geometric structures in the representations of deep neural networks during the terminal phase of training. Despite…
cs.LG2024★ 1 cited
Cubic regularized subspace Newton for non-convex optimization
Jim Zhao, Aurelien Lucchi, Nikita Doikov
This paper addresses the optimization problem of minimizing non-convex continuous functions, which is relevant in the context of high-dimensional machine learning applications char…