Unregularized Online Learning Algorithms with General Loss Functions

2 March 2015

Papers citing "Unregularized Online Learning Algorithms with General Loss Functions"

11 / 11 papers shown

Title
Optimality of Robust Online Learning Zheng-Chu Guo A. Christmann Lei Shi 13 9 0 20 Apr 2023
Differentially Private Stochastic Gradient Descent with Low-Noise Puyu Wang Yunwen Lei Yiming Ying Ding-Xuan Zhou FedML 43 5 0 09 Sep 2022
Sharper Utility Bounds for Differentially Private Models Yilin Kang Yong Liu Jian Li Weiping Wang FedML 29 3 0 22 Apr 2022
Stability and Generalization for Randomized Coordinate Descent Puyu Wang Liang Wu Yunwen Lei 27 7 0 17 Aug 2021
Improved Learning Rates for Stochastic Optimization: Two Theoretical Viewpoints Shaojie Li Yong Liu 20 13 0 19 Jul 2021
Fast Polynomial Kernel Classification for Massive Data Jinshan Zeng Minrun Wu Shao-Bo Lin Ding-Xuan Zhou TPM 14 5 0 24 Nov 2019
Stochastic Iterative Hard Thresholding for Graph-structured Sparsity Optimization Baojian Zhou F. Chen Yiming Ying 23 7 0 09 May 2019
Deep Neural Networks for Rotation-Invariance Approximation and Learning C. Chui Shao-Bo Lin Ding-Xuan Zhou 11 34 0 03 Apr 2019
Convergence of Online Mirror Descent Yunwen Lei Ding-Xuan Zhou 23 20 0 18 Feb 2018
Convergence of Unregularized Online Learning Algorithms Yunwen Lei Lei Shi Zheng-Chu Guo 16 14 0 09 Aug 2017
Learning Theory Approach to Minimum Error Entropy Criterion Ting Hu Jun Fan Qiang Wu Ding-Xuan Zhou 43 82 0 03 Aug 2012