The road taken: the role of optimizers at the edge of stability
Read the original at arxiv.org→arXiv:2608.18415v1 Announce Type: new Abstract: The edge of stability refers to a phenomenon in deep learning with gradient-based optimizers where the Hessian eigenvalues of the loss remain stable above a threshold...
Original headline: "The Road Taken: The Role of Optimizers at the Edge of Stability"
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- Aug 20, 04:00 UTC arXiv cs.LG lead source The Road Taken: The Role of Optimizers at the Edge of Stability