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Accelerated Method for Stochastic Composition Optimization with
  Nonsmooth Regularization

Accelerated Method for Stochastic Composition Optimization with Nonsmooth Regularization

10 November 2017
Zhouyuan Huo
Bin Gu
Ji Liu
Heng-Chiao Huang
ArXivPDFHTML

Papers citing "Accelerated Method for Stochastic Composition Optimization with Nonsmooth Regularization"

12 / 12 papers shown
Title
Optimal Algorithms for Stochastic Multi-Level Compositional Optimization
Optimal Algorithms for Stochastic Multi-Level Compositional Optimization
Wei Jiang
Bokun Wang
Yibo Wang
Lijun Zhang
Tianbao Yang
81
17
0
15 Feb 2022
Breaking the Convergence Barrier: Optimization via Fixed-Time Convergent
  Flows
Breaking the Convergence Barrier: Optimization via Fixed-Time Convergent Flows
Param Budhraja
Mayank Baranwal
Kunal Garg
A. Hota
15
9
0
02 Dec 2021
Momentum Accelerates the Convergence of Stochastic AUPRC Maximization
Momentum Accelerates the Convergence of Stochastic AUPRC Maximization
Guanghui Wang
Minghao Yang
Lijun Zhang
Tianbao Yang
41
22
0
02 Jul 2021
Randomized Stochastic Variance-Reduced Methods for Multi-Task Stochastic
  Bilevel Optimization
Randomized Stochastic Variance-Reduced Methods for Multi-Task Stochastic Bilevel Optimization
Zhishuai Guo
Quan Hu
Lijun Zhang
Tianbao Yang
61
30
0
05 May 2021
Stochastic Optimization of Areas Under Precision-Recall Curves with
  Provable Convergence
Stochastic Optimization of Areas Under Precision-Recall Curves with Provable Convergence
Qi Qi
Youzhi Luo
Zhao Xu
Shuiwang Ji
Tianbao Yang
18
59
0
18 Apr 2021
Solving Stochastic Compositional Optimization is Nearly as Easy as
  Solving Stochastic Optimization
Solving Stochastic Compositional Optimization is Nearly as Easy as Solving Stochastic Optimization
Tianyi Chen
Yuejiao Sun
W. Yin
48
81
0
25 Aug 2020
Privacy-Preserving Asynchronous Federated Learning Algorithms for
  Multi-Party Vertically Collaborative Learning
Privacy-Preserving Asynchronous Federated Learning Algorithms for Multi-Party Vertically Collaborative Learning
Bin Gu
An Xu
Zhouyuan Huo
Cheng Deng
Heng-Chiao Huang
FedML
38
27
0
14 Aug 2020
An Online Method for A Class of Distributionally Robust Optimization
  with Non-Convex Objectives
An Online Method for A Class of Distributionally Robust Optimization with Non-Convex Objectives
Qi Qi
Zhishuai Guo
Yi Tian Xu
Rong Jin
Tianbao Yang
33
44
0
17 Jun 2020
Compositional ADAM: An Adaptive Compositional Solver
Compositional ADAM: An Adaptive Compositional Solver
Rasul Tutunov
Minne Li
Alexander I. Cowen-Rivers
Jun Wang
Haitham Bou-Ammar
ODL
57
16
0
10 Feb 2020
Asynchronous Stochastic Composition Optimization with Variance Reduction
Asynchronous Stochastic Composition Optimization with Variance Reduction
Shuheng Shen
Linli Xu
Jingchang Liu
Junliang Guo
Qing Ling
14
2
0
15 Nov 2018
Learning from Conditional Distributions via Dual Embeddings
Learning from Conditional Distributions via Dual Embeddings
Bo Dai
Niao He
Yunpeng Pan
Byron Boots
Le Song
35
21
0
15 Jul 2016
A Proximal Stochastic Gradient Method with Progressive Variance
  Reduction
A Proximal Stochastic Gradient Method with Progressive Variance Reduction
Lin Xiao
Tong Zhang
ODL
93
737
0
19 Mar 2014
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