Cover Image

Bregman Douglas-Rachford Splitting Method

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Ma, Shiqian, Xiao, Lin, Zhao, Renbo
Format:	Preprint
Published:	2025
Subjects:	Optimization and Control Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Accelerated forward-backward and Douglas-Rachford splitting dynamics
by: Ozaslan, Ibrahim K., et al.
Published: (2024)

Extending Douglas-Rachford Splitting for Convex Optimization
by: Nilsson, Max, et al.
Published: (2025)

Exact worst-case convergence rates for Douglas--Rachford and Davis--Yin splitting methods
by: Nguyen, Edward Duc Hien, et al.
Published: (2025)

Bregman Linearized Augmented Lagrangian Method for Nonconvex Constrained Stochastic Zeroth-order Optimization
by: Shi, Qiankun, et al.
Published: (2025)

Solving Quadratic Programs via Deep Unrolled Douglas-Rachford Splitting
by: Xiong, Jinxin, et al.
Published: (2025)

A Douglas-Rachford Splitting Method for Solving Monotone Variational Inequalities in Linear-quadratic Dynamic Games
by: Baghbadorani, Reza Rahimi, et al.
Published: (2025)

Nonconvex Stochastic Bregman Proximal Gradient Method with Application to Deep Learning
by: Ding, Kuangyu, et al.
Published: (2023)

Riemannian Dueling Optimization
by: Ren, Yuxuan, et al.
Published: (2026)

Decentralized and Equitable Optimal Transport
by: Lau, Ivan, et al.
Published: (2024)

Efficient Douglas-Rachford Methods on Hadamard Manifolds with Applications to the Heron Problems
by: Sahu, D. R., et al.
Published: (2025)

On the convergence rate of the Douglas-Rachford splitting algorithm
by: Abbaszadehpeivasti, Hadi, et al.
Published: (2025)

Online Nonconvex Bilevel Optimization with Bregman Divergences
by: Bohne, Jason, et al.
Published: (2024)

Robust Sublinear Convergence Rates for Iterative Bregman Projections
by: Peyré, Gabriel
Published: (2026)

The Generalized Multiplicative Gradient Method for A Class of Convex Optimization Problems Over Symmetric Cones
by: Zhao, Renbo
Published: (2022)

A Bregman firmly nonexpansive proximal operator for baryconvex optimization
by: Achab, Mastane
Published: (2024)

Spurious Stationarity and Hardness Results for Bregman Proximal-Type Algorithms
by: Chen, He, et al.
Published: (2024)

Douglas--Rachford for multioperator comonotone inclusions with applications to multiblock optimization
by: Alcantara, Jan Harold, et al.
Published: (2025)

AutoBalance: An Automatic Balancing Framework for Training Physics-Informed Neural Networks
by: An, Kang, et al.
Published: (2025)

Demystifying Manifold Constraints in LLM Pre-training
by: An, Kang, et al.
Published: (2026)

Variable Bregman Majorization-Minimization Algorithm and its Application to Dirichlet Maximum Likelihood Estimation
by: Martin, Ségolène, et al.
Published: (2025)

An inexact Bregman proximal point method and its acceleration version for unbalanced optimal transport
by: Chen, Xiang, et al.
Published: (2024)

Symmetrizing Bregman Divergence on the Cone of Positive Definite Matrices: Which Mean to Use and Why
by: Sial, Tushar, et al.
Published: (2026)

ASGO: Adaptive Structured Gradient Optimization
by: An, Kang, et al.
Published: (2025)

A New Inexact Proximal Linear Algorithm with Adaptive Stopping Criteria for Robust Phase Retrieval
by: Zheng, Zhong, et al.
Published: (2023)

A Riemannian ADMM
by: Li, Jiaxiang, et al.
Published: (2022)

Douglas-Rachford Algorithm for Control- and State-constrained Optimal Control Problems
by: Burachik, Regina S., et al.
Published: (2024)

Randomized Douglas-Rachford methods for linear systems: Improved accuracy and efficiency
by: Han, Deren, et al.
Published: (2022)

An Adaptive Stochastic Gradient Method with Non-negative Gauss-Newton Stepsizes
by: Orvieto, Antonio, et al.
Published: (2024)

Dual Averaging With Non-Strongly-Convex Prox-Functions: New Analysis and Algorithm
by: Zhao, Renbo
Published: (2025)

An Optimization Perspective on the Monotonicity of the Multiplicative Algorithm for Optimal Experimental Design
by: Zhao, Renbo
Published: (2025)

On the Convexification of Spectral Sets Induced by Non-Invariant Sets
by: Zhao, Renbo
Published: (2024)

Communication efficient quasi-Newton distributed optimization based on the Douglas-Rachford envelope
by: Yi, Dingran, et al.
Published: (2024)

Best Approximation Optimal Control for Infeasible Double Integrator and Douglas--Rachford Algorithm
by: Burachik, Regina S., et al.
Published: (2026)

Optimal Leveraging of Smoothness and Strong Convexity for Peaceman--Rachford Splitting
by: Briceño-Arias, Luis, et al.
Published: (2026)

Revisiting Subgradient Method: Complexity and Convergence Beyond Lipschitz Continuity
by: Li, Xiao, et al.
Published: (2023)

Exploration from a Primal-Dual Lens: Value-Incentivized Actor-Critic Methods for Sample-Efficient Online RL
by: Yang, Tong, et al.
Published: (2025)

Doubly relaxed forward-Douglas--Rachford splitting for the sum of two nonconvex and a DC function
by: Dao, Minh N., et al.
Published: (2024)

A Single-Loop Algorithm for Decentralized Bilevel Optimization
by: Dong, Youran, et al.
Published: (2023)

On Penalty-based Bilevel Gradient Descent Method
by: Shen, Han, et al.
Published: (2023)

A Split-Client Approach to Second-Order Optimization
by: Chayti, El Mahdi, et al.
Published: (2025)