Stochastically Controlled Stochastic Gradient for the Convex and Non-convex Composition problem

6 September 2018

Papers citing "Stochastically Controlled Stochastic Gradient for the Convex and Non-convex Composition problem"

7 / 7 papers shown

Title
Multi-block-Single-probe Variance Reduced Estimator for Coupled Compositional Optimization Wei Jiang Gang Li Yibo Wang Lijun Zhang Tianbao Yang 132 18 0 18 Jul 2022
Randomized Stochastic Variance-Reduced Methods for Multi-Task Stochastic Bilevel Optimization Zhishuai Guo Quan Hu Lijun Zhang Tianbao Yang 144 31 0 05 May 2021
Stochastic Optimization of Areas Under Precision-Recall Curves with Provable Convergence Qi Qi Youzhi Luo Zhao Xu Shuiwang Ji Tianbao Yang 68 62 0 18 Apr 2021
Efficient Semi-Implicit Variational Inference Vincent Moens Hang Ren A. Maraval Rasul Tutunov Jun Wang H. Ammar 159 7 0 15 Jan 2021
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 102 47 0 17 Jun 2020
Compositional ADAM: An Adaptive Compositional Solver Rasul Tutunov Minne Li Alexander I. Cowen-Rivers Jun Wang Haitham Bou-Ammar ODL 103 16 0 10 Feb 2020
VR-SGD: A Simple Stochastic Variance Reduction Method for Machine Learning Fanhua Shang Kaiwen Zhou Hongying Liu James Cheng Ivor W. Tsang Lijun Zhang Dacheng Tao L. Jiao 98 67 0 26 Feb 2018