"gradient descent convergence" Papers

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Paper Type

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Any-stepsize Gradient Descent for Separable Data under Fenchel–Young Losses

Han Bao, Shinsaku Sakaue, Yuki Takezawa

NEURIPS 2025spotlightarXiv:2502.04889
1
citations

Temporal Difference Learning: Why It Can Be Fast and How It Will Be Faster

Patrick Schnell, Luca Guastoni, Nils Thuerey

ICLR 2025oral

Compression of Structured Data with Autoencoders: Provable Benefit of Nonlinearities and Depth

Kevin Kögler, Aleksandr Shevchenko, Hamed Hassani et al.

ICML 2024arXiv:2402.05013
1
citations

Neural Tangent Kernels Motivate Cross-Covariance Graphs in Neural Networks

Shervin Khalafi, Saurabh Sihag, Alejandro Ribeiro

ICML 2024