NeurIPS 2025 "adaptive gradient methods" Papers

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Adam Reduces a Unique Form of Sharpness: Theoretical Insights Near the Minimizer Manifold

Xinghan Li, Haodong Wen, Kaifeng Lyu

NeurIPS 2025posterarXiv:2511.02773

Understanding the Generalization of Stochastic Gradient Adam in Learning Neural Networks

Xuan Tang, Han Zhang, Yuan Cao et al.

NeurIPS 2025posterarXiv:2510.11354