A Near-Optimal Single-Loop Stochastic Algorithm for Convex Finite-Sum Coupled Compositional Optimization
Fuente:
arXiv
Saved in:
| Main Authors: | Wang, Bokun, Yang, Tianbao |
|---|---|
| Format: | Preprint |
| Published: |
2023
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Single-Loop Stochastic Algorithms for Difference of Max-Structured Weakly Convex Functions
by: Hu, Quanqi, et al.
Published: (2024)
by: Hu, Quanqi, et al.
Published: (2024)
Non-Smooth Weakly-Convex Finite-sum Coupled Compositional Optimization
by: Hu, Quanqi, et al.
Published: (2023)
by: Hu, Quanqi, et al.
Published: (2023)
Convergence Analysis of the PAGE Stochastic Algorithm for Weakly Convex Finite-Sum Optimization
by: Condat, Laurent, et al.
Published: (2025)
by: Condat, Laurent, et al.
Published: (2025)
A Nearly Optimal Single Loop Algorithm for Stochastic Bilevel Optimization under Unbounded Smoothness
by: Gong, Xiaochuan, et al.
Published: (2024)
by: Gong, Xiaochuan, et al.
Published: (2024)
Stochastic Momentum Methods for Non-smooth Non-Convex Finite-Sum Coupled Compositional Optimization
by: Chen, Xingyu, et al.
Published: (2025)
by: Chen, Xingyu, et al.
Published: (2025)
Single-Loop Deterministic and Stochastic Interior-Point Algorithms for Nonlinearly Constrained Optimization
by: Curtis, Frank E., et al.
Published: (2024)
by: Curtis, Frank E., et al.
Published: (2024)
Universal Online Convex Optimization Meets Second-order Bounds
by: Zhang, Lijun, et al.
Published: (2021)
by: Zhang, Lijun, et al.
Published: (2021)
SPABA: A Single-Loop and Probabilistic Stochastic Bilevel Algorithm Achieving Optimal Sample Complexity
by: Chu, Tianshu, et al.
Published: (2024)
by: Chu, Tianshu, et al.
Published: (2024)
Optimal Rates for Robust Stochastic Convex Optimization
by: Gao, Changyu, et al.
Published: (2024)
by: Gao, Changyu, et al.
Published: (2024)
Optimal Guarantees for Algorithmic Reproducibility and Gradient Complexity in Convex Optimization
by: Zhang, Liang, et al.
Published: (2023)
by: Zhang, Liang, et al.
Published: (2023)
Probabilistic Guarantees of Stochastic Recursive Gradient in Non-Convex Finite Sum Problems
by: Zhong, Yanjie, et al.
Published: (2024)
by: Zhong, Yanjie, et al.
Published: (2024)
Optimal Algorithms for Stochastic Complementary Composite Minimization
by: d'Aspremont, Alexandre, et al.
Published: (2022)
by: d'Aspremont, Alexandre, et al.
Published: (2022)
Optimal Algorithms for Online Convex Optimization with Adversarial Constraints
by: Sinha, Abhishek, et al.
Published: (2023)
by: Sinha, Abhishek, et al.
Published: (2023)
More Optimal Fractional-Order Stochastic Gradient Descent for Non-Convex Optimization Problems
by: Partohaghighi, Mohammad, et al.
Published: (2025)
by: Partohaghighi, Mohammad, et al.
Published: (2025)
On Linear Convergence in Smooth Convex-Concave Bilinearly-Coupled Saddle-Point Optimization: Lower Bounds and Optimal Algorithms
by: Kovalev, Dmitry, et al.
Published: (2024)
by: Kovalev, Dmitry, et al.
Published: (2024)
Near-Optimal Decentralized Stochastic Nonconvex Optimization with Heavy-Tailed Noise
by: Wang, Menglian, et al.
Published: (2026)
by: Wang, Menglian, et al.
Published: (2026)
Stochastic Difference-of-Convex Optimization with Momentum
by: Chayti, El Mahdi, et al.
Published: (2025)
by: Chayti, El Mahdi, et al.
Published: (2025)
The Price of Adaptivity in Stochastic Convex Optimization
by: Carmon, Yair, et al.
Published: (2024)
by: Carmon, Yair, et al.
Published: (2024)
Decentralized Stochastic Gradient Descent Ascent for Finite-Sum Minimax Problems
by: Gao, Hongchang
Published: (2022)
by: Gao, Hongchang
Published: (2022)
Near-Optimal Algorithms for Group Distributionally Robust Optimization and Beyond
by: Soma, Tasuku, et al.
Published: (2022)
by: Soma, Tasuku, et al.
Published: (2022)
Stability and Generalization for Stochastic Recursive Momentum-based Algorithms for (Strongly-)Convex One to $K$-Level Stochastic Optimizations
by: Pan, Xiaokang, et al.
Published: (2024)
by: Pan, Xiaokang, et al.
Published: (2024)
Stochastic Compositional Optimization with Compositional Constraints
by: Yang, Shuoguang, et al.
Published: (2022)
by: Yang, Shuoguang, et al.
Published: (2022)
Improved Stochastic Optimization of LogSumExp
by: Gladin, Egor, et al.
Published: (2025)
by: Gladin, Egor, et al.
Published: (2025)
ROOT-SGD: Sharp Nonasymptotics and Near-Optimal Asymptotics in a Single Algorithm
by: Li, Chris Junchi, et al.
Published: (2020)
by: Li, Chris Junchi, et al.
Published: (2020)
On the Complexity of Decentralized Smooth Nonconvex Finite-Sum Optimization
by: Luo, Luo, et al.
Published: (2022)
by: Luo, Luo, et al.
Published: (2022)
Stochastic Variance-Reduced Newton: Accelerating Finite-Sum Minimization with Large Batches
by: Dereziński, Michał
Published: (2022)
by: Dereziński, Michał
Published: (2022)
Faster Algorithms for User-Level Private Stochastic Convex Optimization
by: Lowy, Andrew, et al.
Published: (2024)
by: Lowy, Andrew, et al.
Published: (2024)
Single Point-Based Distributed Zeroth-Order Optimization with a Non-Convex Stochastic Objective Function
by: Mhanna, Elissa, et al.
Published: (2024)
by: Mhanna, Elissa, et al.
Published: (2024)
Freya PAGE: First Optimal Time Complexity for Large-Scale Nonconvex Finite-Sum Optimization with Heterogeneous Asynchronous Computations
by: Tyurin, Alexander, et al.
Published: (2024)
by: Tyurin, Alexander, et al.
Published: (2024)
Nearly Optimal Linear Convergence of Stochastic Primal-Dual Methods for Linear Programming
by: Lu, Haihao, et al.
Published: (2021)
by: Lu, Haihao, et al.
Published: (2021)
Stochastic Weakly Convex Optimization Beyond Lipschitz Continuity
by: Gao, Wenzhi, et al.
Published: (2024)
by: Gao, Wenzhi, et al.
Published: (2024)
The Sample Complexity of Gradient Descent in Stochastic Convex Optimization
by: Livni, Roi
Published: (2024)
by: Livni, Roi
Published: (2024)
Online Non-Stationary Stochastic Quasar-Convex Optimization
by: Pun, Yuen-Man, et al.
Published: (2024)
by: Pun, Yuen-Man, et al.
Published: (2024)
The Sample Complexity of Parameter-Free Stochastic Convex Optimization
by: Lawrence, Jared, et al.
Published: (2025)
by: Lawrence, Jared, et al.
Published: (2025)
Stochastic Non-Smooth Convex Optimization with Unbounded Gradients
by: Kovalev, Dmitry
Published: (2026)
by: Kovalev, Dmitry
Published: (2026)
Rapid Overfitting of Multi-Pass Stochastic Gradient Descent in Stochastic Convex Optimization
by: Vansover-Hager, Shira, et al.
Published: (2025)
by: Vansover-Hager, Shira, et al.
Published: (2025)
Bayesian Optimization for Non-Convex Two-Stage Stochastic Optimization Problems
by: Buckingham, Jack M., et al.
Published: (2024)
by: Buckingham, Jack M., et al.
Published: (2024)
An Algorithm with Optimal Dimension-Dependence for Zero-Order Nonsmooth Nonconvex Stochastic Optimization
by: Kornowski, Guy, et al.
Published: (2023)
by: Kornowski, Guy, et al.
Published: (2023)
Shuffling Momentum Gradient Algorithm for Convex Optimization
by: Tran, Trang H., et al.
Published: (2024)
by: Tran, Trang H., et al.
Published: (2024)
Lower Bounds and Optimal Algorithms for Non-Smooth Convex Decentralized Optimization over Time-Varying Networks
by: Kovalev, Dmitry, et al.
Published: (2024)
by: Kovalev, Dmitry, et al.
Published: (2024)
Similar Items
-
Single-Loop Stochastic Algorithms for Difference of Max-Structured Weakly Convex Functions
by: Hu, Quanqi, et al.
Published: (2024) -
Non-Smooth Weakly-Convex Finite-sum Coupled Compositional Optimization
by: Hu, Quanqi, et al.
Published: (2023) -
Convergence Analysis of the PAGE Stochastic Algorithm for Weakly Convex Finite-Sum Optimization
by: Condat, Laurent, et al.
Published: (2025) -
A Nearly Optimal Single Loop Algorithm for Stochastic Bilevel Optimization under Unbounded Smoothness
by: Gong, Xiaochuan, et al.
Published: (2024) -
Stochastic Momentum Methods for Non-smooth Non-Convex Finite-Sum Coupled Compositional Optimization
by: Chen, Xingyu, et al.
Published: (2025)