Co-occurring keywords · papers mentioning both
Papers
On the Convergence of A Class of Adam-Type Algorithms for Non-Convex Optimization
ICLR 2019
On the Linear Speedup Analysis of Communication Efficient Momentum SGD for Distributed Non-Convex Optimization
ICML 2019
Quasi-hyperbolic momentum and Adam for deep learning
ICLR 2019
SpiderBoost and Momentum: Faster Variance Reduction Algorithms
NeurIPS 2019
Stochastic Modified Equations and Dynamics of Stochastic Gradient Algorithms I: Mathematical Foundations
JMLR 2019
The Role of Memory in Stochastic Optimization
UAI 2019
Understanding the Role of Momentum in Stochastic Gradient Methods
NeurIPS 2019
Accelerated Gradient Descent Escapes Saddle Points Faster than Gradient Descent
COLT 2018
IHT dies hard: Provable accelerated Iterative Hard Thresholding
AISTATS 2018
Katyusha: The First Direct Acceleration of Stochastic Gradient Methods
JMLR 2018
Katyusha X: Simple Momentum Method for Stochastic Sum-of-Nonconvex Optimization
ICML 2018
On the insufficiency of existing momentum schemes for Stochastic Optimization
ICLR 2018
Towards Understanding Acceleration Tradeoff between Momentum and Asynchrony in Nonconvex Stochastic Optimization
NeurIPS 2018
Accelerated Doubly Stochastic Gradient Algorithm for Large-scale Empirical Risk Minimization
IJCAI 2017
Breaking Locality Accelerates Block Gauss-Seidel
ICML 2017
Convergence Analysis of Proximal Gradient with Momentum for Nonconvex Optimization
ICML 2017
On the Influence of Momentum Acceleration on Online Learning
JMLR 2016