2025 "gradient descent" Papers

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Paper Type

poster (24,624)paper (8,140)oral (1,594)spotlight (1,421)highlight (975)

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

Qiang Fu, Andre Wibisono

NeurIPS 2025spotlightarXiv:2505.12553
2
citations

Learning High-Degree Parities: The Crucial Role of the Initialization

Emmanuel Abbe, Elisabetta Cornacchia, Jan Hązła et al.

ICLR 2025posterarXiv:2412.04910
3
citations

Transformers are almost optimal metalearners for linear classification

Roey Magen, Gal Vardi

NeurIPS 2025posterarXiv:2510.19797
1
citations

Transformers Learn to Implement Multi-step Gradient Descent with Chain of Thought

Jianhao Huang, Zixuan Wang, Jason Lee

ICLR 2025posterarXiv:2502.21212
18
citations