Co-occurring keywords · papers mentioning both
Papers
Last Iterate Convergence of Incremental Methods as a Model of Forgetting
ICLR 2025
Finite-time complexity of incremental policy gradient methods for solving multi-task reinforcement learning
L4DC 2024
Lower Complexity Bounds of Finite-Sum Optimization Problems: The Results and Construction
JMLR 2024
On Convergence of Incremental Gradient for Non-convex Smooth Functions
ICML 2024
On the Last-Iterate Convergence of Shuffling Gradient Methods
ICML 2024
Delay-Adaptive Step-sizes for Asynchronous Learning
ICML 2022
Coresets for Data-efficient Training of Machine Learning Models
ICML 2020
Improved Asynchronous Parallel Optimization Analysis for Stochastic Incremental Methods
JMLR 2018
Towards Memory-Friendly Deterministic Incremental Gradient Method
AISTATS 2018
ASAGA: Asynchronous Parallel SAGA
AISTATS 2017
Learning with Incremental Iterative Regularization
NeurIPS 2015
Proximal Average Approximated Incremental Gradient Method for Composite Penalty Regularized Empirical Risk Minimization
ACML 2015
Finito: A faster, permutable incremental gradient method for big data problems
ICML 2014
SAGA: A Fast Incremental Gradient Method With Support for Non-Strongly Convex Composite Objectives
NeurIPS 2014