Liang, Jingwei

7 publications

JMLR 2022 On Biased Stochastic Gradient Estimation Derek Driggs, Jingwei Liang, Carola-Bibiane Schönlieb

JMLR 2022 TFPnP: Tuning-Free Plug-and-Play Proximal Algorithms with Applications to Inverse Imaging Problems Kaixuan Wei, Angelica Aviles-Rivero, Jingwei Liang, Ying Fu, Hua Huang, Carola-Bibiane Schönlieb

ICML 2020 Tuning-Free Plug-and-Play Proximal Algorithm for Inverse Imaging Problems Kaixuan Wei, Angelica Aviles-Rivero, Jingwei Liang, Ying Fu, Carola-Bibiane Schönlieb, Hua Huang

NeurIPS 2019 Trajectory of Alternating Direction Method of Multipliers and Adaptive Acceleration Clarice Poon, Jingwei Liang

ICML 2018 Local Convergence Properties of SAGA/Prox-SVRG and Acceleration Clarice Poon, Jingwei Liang, Carola Schoenlieb

NeurIPS 2016 A Multi-Step Inertial Forward-Backward Splitting Method for Non-Convex Optimization Jingwei Liang, Jalal Fadili, Gabriel Peyré

NeurIPS 2014 Local Linear Convergence of Forward--Backward Under Partial Smoothness Jingwei Liang, Jalal Fadili, Gabriel Peyré