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composite optimization

40 papers

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convex optimization (1320) stochastic optimization (1060) variance reduction (520) nonconvex optimization (316) proximal operator (50) stochastic gradient descent (1088) decentralized optimization (113) convergence rate (606) stochastic gradient (296) gradient descent (1143)

Papers

Optimal Decentralized Composite Optimization for Strongly Convex Functions JMLR 2025
A Decentralized Proximal Gradient Tracking Algorithm for Composite Optimization on Riemannian Manifolds JMLR 2025
Near-Optimal Convex Simple Bilevel Optimization with a Bisection Method AISTATS 2024
A projected semismooth Newton method for a class of nonconvex composite programs with strong prox-regularity JMLR 2024
Online Composite Optimization Between Stochastic and Adversarial Environments NIPS 2024
Linearization Algorithms for Fully Composite Optimization COLT 2023
A Parameter-Free Conditional Gradient Method for Composite Minimization under Hölder Condition JMLR 2023
Proximal Stochastic Recursive Momentum Methods for Nonconvex Composite Decentralized Optimization AAAI 2023
Cyclic Block Coordinate Descent With Variance Reduction for Composite Nonconvex Optimization ICML 2023
Automatic Data Augmentation via Invariance-Constrained Learning ICML 2023
Tighter Analysis for ProxSkip ICML 2023
Accelerated Cyclic Coordinate Dual Averaging with Extrapolation for Composite Convex Optimization ICML 2023
Accelerating Model-Free Policy Optimization Using Model-Based Gradient: A Composite Optimization Perspective L4DC 2022
Doubly Sparse Asynchronous Learning for Stochastic Composite Optimization IJCAI 2022
When is the Convergence Time of Langevin Algorithms Dimension Independent? A Composite Optimization Viewpoint JMLR 2022
Fast Composite Optimization and Statistical Recovery in Federated Learning ICML 2022
Zeroth-Order Optimization for Composite Problems with Functional Constraints AAAI 2022
Federated Composite Optimization ICML 2021
Greed Meets Sparsity: Understanding and Improving Greedy Coordinate Descent for Sparse Optimization AISTATS 2020
A Hybrid Stochastic Policy Gradient Algorithm for Reinforcement Learning AISTATS 2020
ProxSARAH: An Efficient Algorithmic Framework for Stochastic Composite Nonconvex Optimization JMLR 2020
Estimate Sequences for Stochastic Composite Optimization: Variance Reduction, Acceleration, and Robustness to Noise JMLR 2020
Decentralized Accelerated Proximal Gradient Descent NIPS 2020
Convex optimization based on global lower second-order models NIPS 2020
A Composite Randomized Incremental Gradient Method ICML 2019