Jingwei Liang
7 papers · 2014–2022 · 3 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
Jump to papers ↓
🌍
Conference Polyglot · Bronze
🏃
Academic Marathon · Sprint
🌉
Interdisciplinary Bridge · Silver
🗺️
Taxonomy Completionist
(16)
🐣
Hot Topic Early Bird
Venues
Top co-authors
Research topics
Mathematics & Optimization
(7)
Optimization
(7)
Machine Learning
(6)
Optimization & Theory · Machine Learning
(5)
Deep Learning
(3)
Computer Vision
(2)
Application Areas
(2)
Optimization & Theory · Deep Learning
(2)
Processing
(2)
Core Methods
(1)
Learning Types · Machine Learning
(1)
Learning Types · Deep Learning
(1)
Models
(1)
Keywords
image restoration
(2)
compressed sensing
(2)
proximal algorithm
(2)
non-convex optimization
(2)
deep reinforcement learning
(2)
forward-backward algorithm
(1)
stochastic gradient descent
(1)
stochastic gradient
(1)
oracle complexity
(1)
alternating direction method of multiplier
(1)
forward-backward splitting
(1)
phase retrieval
(1)
variance reduction
(1)
proximal splitting
(1)
proximal gradient descent
(1)
linear convergence
(1)
image processing
(1)
inverse problem
(1)
convex optimization
(1)
sparse recovery
(1)
Papers
On Biased Stochastic Gradient Estimation
JMLR 2022
TFPnP: Tuning-free Plug-and-Play Proximal Algorithms with Applications to Inverse Imaging Problems
JMLR 2022
Tuning-free Plug-and-Play Proximal Algorithm for Inverse Imaging Problems
ICML 2020
Trajectory of Alternating Direction Method of Multipliers and Adaptive Acceleration
NeurIPS 2019
Local Convergence Properties of SAGA/Prox-SVRG and Acceleration
ICML 2018
A Multi-step Inertial Forward-Backward Splitting Method for Non-convex Optimization
NeurIPS 2016
Local Linear Convergence of Forward--Backward under Partial Smoothness
NeurIPS 2014