NeurIPS 2025 "gradient descent" Papers

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Hamiltonian Descent Algorithms for Optimization: Accelerated Rates via Randomized Integration Time

Qiang Fu, Andre Wibisono

NeurIPS 2025spotlightarXiv:2505.12553
2
citations

Transformers are almost optimal metalearners for linear classification

Roey Magen, Gal Vardi

NeurIPS 2025posterarXiv:2510.19797
1
citations