English(EN) Incremental Learning in Mirror Flows

新研究详细介绍了镜像流中的增量学习

作者 PulseAugur 编辑部 · [1 个来源] · 2026-06-22 11:46

一篇新发布的arXiv论文介绍了一种在镜像流中进行增量学习的方法。该研究由Raphaël Berthier撰写，详细介绍了由凸二次损失和一般凸下半连续镜像势生成的镜像流如何在初始化接近镜像势域边界时收敛到极限镜像流。这提供了一种增量学习的通用机制。 AI

影响在数学模型中引入了一种新颖的增量学习机制，可能影响未来的AI发展。

排序理由在arXiv上发表的学术论文。[lever_c_demoted from research: ic=1 ai=1.0]

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arXiv stat.ML TIER_1 English(EN) · Loucas Pillaud-Vivien · 2026-06-22 11:46

增量学习在镜像流中的应用

We study mirror flows generated by a convex quadratic loss and a general convex lower semicontinuous mirror potential. We show that, when initialized near the boundary of the domain of the mirror potential, their rescaled trajectories converge to a limiting mirror flow whose pote…