An Even More Optimal Stochastic Optimization Algorithm: Minibatching and
Interpolation Learning

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An Even More Optimal Stochastic Optimization Algorithm: Minibatching and Interpolation Learning

4 June 2021

Blake E. Woodworth

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Papers citing "An Even More Optimal Stochastic Optimization Algorithm: Minibatching and Interpolation Learning"

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Title
KerZOO: Kernel Function Informed Zeroth-Order Optimization for Accurate and Accelerated LLM Fine-Tuning Zhendong Mi Qitao Tan Xiaodong Yu Zining Zhu Geng Yuan Shaoyi Huang 206 0 0 24 May 2025
Exploring Local Norms in Exp-concave Statistical Learning Nikita Puchkin Nikita Zhivotovskiy 153 2 0 21 Feb 2023
Sharper Analysis for Minibatch Stochastic Proximal Point Methods: Stability, Smoothness, and Deviation Xiao-Tong Yuan P. Li 89 2 0 09 Jan 2023
Private optimization in the interpolation regime: faster rates and hardness results Hilal Asi Karan N. Chadha Gary Cheng John C. Duchi 90 5 0 31 Oct 2022
Faster federated optimization under second-order similarity Ahmed Khaled Chi Jin FedML 100 19 0 06 Sep 2022