Accelerated Backward Forward Method for Convex Optimization
Fuente:
arXiv
Saved in:
| Main Authors: | Wang, Zepeng, Peypouquet, Juan |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Adaptive Accelerated Gradient Method for Smooth Convex Optimization
by: Wang, Zepeng, et al.
Published: (2025)
by: Wang, Zepeng, et al.
Published: (2025)
Convergence Rate Analysis for Monotone Accelerated Proximal Gradient Method
by: Wang, Zepeng, et al.
Published: (2025)
by: Wang, Zepeng, et al.
Published: (2025)
Accelerated Gradient Methods via Inertial Systems with Hessian-driven Damping
by: Wang, Zepeng, et al.
Published: (2025)
by: Wang, Zepeng, et al.
Published: (2025)
Fast convex optimization via inertial systems with asymptotically vanishing viscosity and Hessian-driven damping
by: Wang, Zepeng, et al.
Published: (2025)
by: Wang, Zepeng, et al.
Published: (2025)
Last-Iterate Complexity of SGD for Convex and Smooth Stochastic Problems
by: Garrigos, Guillaume, et al.
Published: (2025)
by: Garrigos, Guillaume, et al.
Published: (2025)
Social Optima of Linear Forward-Backward Stochastic System
by: Wang, Guangchen, et al.
Published: (2024)
by: Wang, Guangchen, et al.
Published: (2024)
Forward-Backward Quantization of Scenario Processes in Multi-Stage Stochastic Optimization
by: Timonina-Farkas, Anna
Published: (2025)
by: Timonina-Farkas, Anna
Published: (2025)
Adaptive Accelerated Gradient Descent Methods for Convex Optimization
by: Xu, Zeyi, et al.
Published: (2026)
by: Xu, Zeyi, et al.
Published: (2026)
Global Optimization Algorithm through High-Resolution Sampling
by: Cortild, Daniel, et al.
Published: (2024)
by: Cortild, Daniel, et al.
Published: (2024)
Prediction-Correction for Nonsmooth Time-Varying Optimization via Forward-Backward Envelopes
by: Bastianello, Nicola, et al.
Published: (2019)
by: Bastianello, Nicola, et al.
Published: (2019)
Lyapunov Analysis For Monotonically Forward-Backward Accelerated Algorithms
by: Fu, Mingwei, et al.
Published: (2024)
by: Fu, Mingwei, et al.
Published: (2024)
Accelerated Distance-adaptive Methods for Hölder Smooth and Convex Optimization
by: Ren, Yijin, et al.
Published: (2025)
by: Ren, Yijin, et al.
Published: (2025)
An Optimization-Based Framework for Solving Forward-Backward Stochastic Differential Equations: Convergence Analysis and Error Bounds
by: Wang, Yutian, et al.
Published: (2025)
by: Wang, Yutian, et al.
Published: (2025)
Asymptotic behavior of penalty dynamics for constrained variational inequalities
by: Qu, Siqi, et al.
Published: (2025)
by: Qu, Siqi, et al.
Published: (2025)
An Adaptive and Parameter-Free Nesterov's Accelerated Gradient Method for Convex Optimization
by: Suh, Jaewook J., et al.
Published: (2025)
by: Suh, Jaewook J., et al.
Published: (2025)
Deterministic and Stochastic Accelerated Gradient Method for Convex Semi-Infinite Optimization
by: Yao, Yao, et al.
Published: (2023)
by: Yao, Yao, et al.
Published: (2023)
Inexact and Implementable Accelerated Newton Proximal Extragradient Method for Convex Optimization
by: Huang, Ziyu, et al.
Published: (2024)
by: Huang, Ziyu, et al.
Published: (2024)
Towards faster first order methods: A continuous-time model to interpolate between speed and function value restart
by: Maulén, Juan José, et al.
Published: (2025)
by: Maulén, Juan José, et al.
Published: (2025)
Restart-Free (Accelerated) Gradient Sliding Methods for Strongly Convex Composite Optimization
by: Wu, Xinming, et al.
Published: (2026)
by: Wu, Xinming, et al.
Published: (2026)
Accelerated Gradient Methods for Geodesically Convex Optimization: Tractable Algorithms and Convergence Analysis
by: Kim, Jungbin, et al.
Published: (2022)
by: Kim, Jungbin, et al.
Published: (2022)
Zeroth-Order Katyusha: An Accelerated Derivative-Free Method for Composite Convex Optimization
by: Zhang, Silan, et al.
Published: (2024)
by: Zhang, Silan, et al.
Published: (2024)
A Global Stochastic Maximum Principle for Mean-Field Forward-Backward Stochastic Control Systems with Quadratic Generators
by: Buckdahn, Rainer, et al.
Published: (2024)
by: Buckdahn, Rainer, et al.
Published: (2024)
A Family of Controllable Momentum Coefficients for Forward-Backward Accelerated Algorithms
by: Fu, Mingwei, et al.
Published: (2025)
by: Fu, Mingwei, et al.
Published: (2025)
Technical Report: A Totally Asynchronous Nesterov's Accelerated Gradient Method for Convex Optimization
by: Pond, Ellie, et al.
Published: (2024)
by: Pond, Ellie, et al.
Published: (2024)
HNAG$^{++}$: An Accelerated Gradient Method with a Refined Asymptotic Rate for Strongly Convex Optimization
by: Chen, Long, et al.
Published: (2025)
by: Chen, Long, et al.
Published: (2025)
Stability Bounds for the Unfolded Forward-Backward Algorithm
by: Chouzenoux, Emilie, et al.
Published: (2024)
by: Chouzenoux, Emilie, et al.
Published: (2024)
Continuized Nesterov Acceleration for Non-Convex Optimization
by: Hermant, Julien, et al.
Published: (2025)
by: Hermant, Julien, et al.
Published: (2025)
An Accelerated Gradient Method for Convex Smooth Simple Bilevel Optimization
by: Cao, Jincheng, et al.
Published: (2024)
by: Cao, Jincheng, et al.
Published: (2024)
Subgame Perfect Methods in Nonsmooth Convex Optimization
by: Grimmer, Benjamin, et al.
Published: (2025)
by: Grimmer, Benjamin, et al.
Published: (2025)
Control Forward-Backward Consistency: Quantifying the Accuracy of Koopman Control Family Models
by: Haseli, Masih, et al.
Published: (2026)
by: Haseli, Masih, et al.
Published: (2026)
Solvability of Coupled Forward-Backward Volterra Integral Equations
by: Li, Wenyang, et al.
Published: (2024)
by: Li, Wenyang, et al.
Published: (2024)
Forward-Backward Dynamic Programming for LQG Dynamic Games with Partial and Asymmetric Information
by: Guan, Yuxiang, et al.
Published: (2026)
by: Guan, Yuxiang, et al.
Published: (2026)
Asymptotic Properties of a Forward-Backward-Forward Differential Equation and Its Discrete Version for Solving Quasimonotone Variational Inequalities
by: Zhang, Yeyu, et al.
Published: (2025)
by: Zhang, Yeyu, et al.
Published: (2025)
Polyak Minorant Method for Convex Optimization
by: Devanathan, Nikhil, et al.
Published: (2023)
by: Devanathan, Nikhil, et al.
Published: (2023)
Forward-Backward Stochastic Linear-Quadratic Optimal Controls: Equilibrium Strategies and Non-Symmetric Riccati Equations
by: Lü, Qi, et al.
Published: (2025)
by: Lü, Qi, et al.
Published: (2025)
Revisit First-order Methods for Geodesically Convex Optimization
by: Shu, Yunlu, et al.
Published: (2025)
by: Shu, Yunlu, et al.
Published: (2025)
Forward and Backward Reachability Analysis of Closed-loop Recurrent Neural Networks via Hybrid Zonotopes
by: Zhang, Yuhao, et al.
Published: (2026)
by: Zhang, Yuhao, et al.
Published: (2026)
On the Convergence of Stochastic Gradient Descent with Perturbed Forward-Backward Passes
by: Kong, Boao, et al.
Published: (2026)
by: Kong, Boao, et al.
Published: (2026)
Multiresolution Adaptive Block-Coordinate Forward-Backward for Image Reconstruction
by: Desainte-Maréville, Edgar, et al.
Published: (2026)
by: Desainte-Maréville, Edgar, et al.
Published: (2026)
Subgradient Gliding Method for Nonsmooth Convex Optimization
by: Zhu, Zhihan, et al.
Published: (2026)
by: Zhu, Zhihan, et al.
Published: (2026)
Similar Items
-
Adaptive Accelerated Gradient Method for Smooth Convex Optimization
by: Wang, Zepeng, et al.
Published: (2025) -
Convergence Rate Analysis for Monotone Accelerated Proximal Gradient Method
by: Wang, Zepeng, et al.
Published: (2025) -
Accelerated Gradient Methods via Inertial Systems with Hessian-driven Damping
by: Wang, Zepeng, et al.
Published: (2025) -
Fast convex optimization via inertial systems with asymptotically vanishing viscosity and Hessian-driven damping
by: Wang, Zepeng, et al.
Published: (2025) -
Last-Iterate Complexity of SGD for Convex and Smooth Stochastic Problems
by: Garrigos, Guillaume, et al.
Published: (2025)