Expected Residual Minimization Method for Stochastic Tensor Variational Inequalities

Type: Article

Publication Date: 2022-12-03

Citations: 3

DOI: https://doi.org/10.1007/s40305-022-00450-4

Locations

  • Journal of the Operations Research Society of China - View

Similar Works

Action Title Year Authors
+ Expected Residual Minimization Method for a Class of Stochastic Tensor Variational Inequalities 2024 Jianxun Liu
Zhao-Feng Lan
Shengjie Li
+ Expected Residual Minimization Method for Stochastic Variational Inequality Problems 2008 M. J. Luo
Gui Hua Lin
+ Expected residual minimization method for monotone stochastic tensor complementarity problem 2020 Zhenyu Ming
Liping Zhang
Liqun Qi
+ Expected residual minimization method for stochastic variational inequality problems with nonlinear perturbations 2013 Hui-qiang Ma
Meng Wu
Nan‐jing Huang
Jiuping Xu
+ Method of weighted expected residual for solving stochastic variational inequality problems 2015 Fang LĂŒ
Shengjie Li
+ Convergence analysis of weighted expected residual method for nonlinear stochastic variational inequality problems 2015 Fang LĂŒ
Shengjie Li
Jing Yang
+ A Stochastic Tensor Method for Non-convex Optimization 2019 Aurélien Lucchi
Jonas Köhler
+ Variance-based stochastic projection gradient method for two-stage co-coercive stochastic variational inequalities 2024 Bin Zhou
Jie Jiang
Yongzhong Song
Hailin Sun
+ Quantitative stability for stochastic tensor variational inequalities 2024 Tong-tong Shang
Guo-ji Tang
+ Expected smoothness for stochastic variance-reduced methods and sketch-and-project methods for structured linear systems 2021 Nidham Gazagnadou
+ Random projection methods for stochastic convex minimization 2013 Umit Deniz Tursun
+ Inverse Tensor Variational Inequalities and Applications 2022 Francesca Anceschi
Annamaria Barbagallo
Serena Guarino Lo Bianco
+ CVaR stochastic programming model for monotone stochastic tensor complementarity problem by using its penalized sample average approximation algorithm 2024 Yuncheng Xu
Sanyang Liu
Lixia Liu
Kewei Jie
+ Tensor Decompositions using Stochastic and Deterministic Optimization 2023 Jeremy B. Myers
Daniel Dunlavy
+ PDF Chat Tensor Methods for Minimizing Convex Functions with Hölder Continuous Higher-Order Derivatives 2020 Geovani Nunes Grapiglia
Yu. Nesterov
+ Regularizations for Stochastic Linear Variational Inequalities 2014 Yanfang Zhang
Xiaojun Chen
+ A Sub-sampled Tensor Method for Non-convex Optimization 2019 Aurélien Lucchi
Jonas Köhler
+ Stochastic intermediate gradient method for convex optimization problems 2016 Alexander Gasnikov
Pavel Dvurechensky
+ Regularized Sample Average Approximation Approach for Two-Stage Stochastic Variational Inequalities 2021 Jie Jiang
Shengjie Li
+ Doubly Accelerated Stochastic Variance Reduced Gradient Method for Regularized Empirical Risk Minimization 2017 Tomoya Murata
Taiji Suzuki