"gradient methods" Papers

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On the Complexity of Finite-Sum Smooth Optimization under the Polyak–Łojasiewicz Condition

Yunyan Bai, Yuxing Liu, Luo Luo

ICML 2024spotlight

Privacy Amplification by Iteration for ADMM with (Strongly) Convex Objective Functions

T-H. Hubert Chan, Hao Xie, Mengshi ZHAO

AAAI 2024paperarXiv:2312.08685
1
citations

Spectral Preconditioning for Gradient Methods on Graded Non-convex Functions

Nikita Doikov, Sebastian Stich, Martin Jaggi

ICML 2024poster

Universal Gradient Methods for Stochastic Convex Optimization

Anton Rodomanov, Ali Kavis, Yongtao Wu et al.

ICML 2024poster