Saved in:
| Main Author: | Hieu, Le Duc |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2509.08954 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Fast Frank--Wolfe Algorithms with Adaptive Bregman Step-Size for Weakly Convex Functions
by: Takahashi, Shota, et al.
Published: (2025)
by: Takahashi, Shota, et al.
Published: (2025)
On Difference-of-SOS and Difference-of-Convex-SOS Decompositions for Polynomials
by: Niu, Yi-Shuai, et al.
Published: (2018)
by: Niu, Yi-Shuai, et al.
Published: (2018)
A Proximal Stochastic Gradient Method with Adaptive Step Size and Variance Reduction for Convex Composite Optimization
by: Fang, Changjie, et al.
Published: (2025)
by: Fang, Changjie, et al.
Published: (2025)
MGProx: A nonsmooth multigrid proximal gradient method with adaptive restriction for strongly convex optimization
by: Ang, Andersen, et al.
Published: (2023)
by: Ang, Andersen, et al.
Published: (2023)
On the Convergence Rates of Iterative Regularization Algorithms for Composite Bi-Level Optimization
by: Shtern, Shimrit, et al.
Published: (2025)
by: Shtern, Shimrit, et al.
Published: (2025)
The Grimmer--Shu--Wang Certificate and the Drori--Teboulle Minimax Constant-Stepsize Bound for $N\ge 3$
by: Zhang, Lixing
Published: (2026)
by: Zhang, Lixing
Published: (2026)
A cut-and-project perspective for linearized Bregman iterations
by: Dai, Yu-Hong, et al.
Published: (2024)
by: Dai, Yu-Hong, et al.
Published: (2024)
Splitting the Conditional Gradient Algorithm
by: Woodstock, Zev, et al.
Published: (2023)
by: Woodstock, Zev, et al.
Published: (2023)
A Busemann hybrid projection-proximal point algorithm for optimization problems on Hadamard manifolds
by: Millán, R. Díaz, et al.
Published: (2026)
by: Millán, R. Díaz, et al.
Published: (2026)
Fast convex optimization via closed-loop time scaling of gradient dynamics
by: Attouch, Hedy, et al.
Published: (2023)
by: Attouch, Hedy, et al.
Published: (2023)
Augmented Lagrangian methods for fully convex composite optimization
by: De Marchi, Alberto, et al.
Published: (2025)
by: De Marchi, Alberto, et al.
Published: (2025)
A Speed Restart Scheme for a Dynamical System with Hessian-Driven Damping and Three Constant Coefficients
by: Guo, Huiyuan, et al.
Published: (2024)
by: Guo, Huiyuan, et al.
Published: (2024)
Heavy Ball Momentum for Non-Strongly Convex Optimization
by: Aujol, Jean-François, et al.
Published: (2024)
by: Aujol, Jean-François, et al.
Published: (2024)
Riemannian Adaptive Regularized Newton Methods with Hölder Continuous Hessians
by: Zhang, Chenyu, et al.
Published: (2023)
by: Zhang, Chenyu, et al.
Published: (2023)
Retrospective Approximation Sequential Quadratic Programming for Stochastic Optimization with General Deterministic Nonlinear Constraints
by: Berahas, Albert S., et al.
Published: (2025)
by: Berahas, Albert S., et al.
Published: (2025)
Inertial Methods with Viscous and Hessian driven Damping for Non-Convex Optimization
by: Maulen-Soto, Rodrigo, et al.
Published: (2024)
by: Maulen-Soto, Rodrigo, et al.
Published: (2024)
Nonsmooth Projection-Free Optimization with Functional Constraints
by: Asgari, Kamiar, et al.
Published: (2023)
by: Asgari, Kamiar, et al.
Published: (2023)
Preconditioned Proximal Gradient Methods with Conjugate Momentum: A Subspace Perspective
by: Chen, Jian, et al.
Published: (2026)
by: Chen, Jian, et al.
Published: (2026)
Extragradient method with feasible inexact projection to variational inequality problem
by: Millán, R. Díaz, et al.
Published: (2023)
by: Millán, R. Díaz, et al.
Published: (2023)
Strong convergence and fast rates for systems with Tikhonov regularization
by: Csetnek, Ernö Robert, et al.
Published: (2024)
by: Csetnek, Ernö Robert, et al.
Published: (2024)
Parallel block coordinate descent methods with identification strategies
by: Lopes, Ronaldo, et al.
Published: (2025)
by: Lopes, Ronaldo, et al.
Published: (2025)
Accelerating Diagonal Methods for Bilevel Optimization: Unified Convergence via Continuous-Time Dynamics
by: Boţ, Radu Ioan, et al.
Published: (2025)
by: Boţ, Radu Ioan, et al.
Published: (2025)
The Global R-linear Convergence of Nesterov's Accelerated Gradient Method with Unknown Strongly Convex Parameter
by: Bao, Chenglong, et al.
Published: (2023)
by: Bao, Chenglong, et al.
Published: (2023)
Convergence of iterates and improved rates for accelerated augmented Lagrangian methods for linearly constrained convex optimization
by: He, Xin, et al.
Published: (2026)
by: He, Xin, et al.
Published: (2026)
cuHALLaR: A GPU Accelerated Low-Rank Augmented Lagrangian Method for Large-Scale Semidefinite Programming
by: Aguirre, Jacob M., et al.
Published: (2025)
by: Aguirre, Jacob M., et al.
Published: (2025)
On the convergence of proximal gradient methods for convex simple bilevel optimization
by: Latafat, Puya, et al.
Published: (2023)
by: Latafat, Puya, et al.
Published: (2023)
Boosted Stochastic Frank-Wolfe for Constrained Nonconvex Optimization
by: Nandhan, Navil, et al.
Published: (2026)
by: Nandhan, Navil, et al.
Published: (2026)
On the Convergence and Complexity of Proximal Gradient and Accelerated Proximal Gradient Methods under Adaptive Gradient Estimation
by: Bollapragada, Raghu, et al.
Published: (2025)
by: Bollapragada, Raghu, et al.
Published: (2025)
Alternating Gradient-Type Algorithm for Bilevel Optimization with Inexact Lower-Level Solutions via Moreau Envelope-based Reformulation
by: Bai, Xiaoning, et al.
Published: (2024)
by: Bai, Xiaoning, et al.
Published: (2024)
A Proximal-Gradient Method for Constrained Optimization
by: Dai, Yutong, et al.
Published: (2024)
by: Dai, Yutong, et al.
Published: (2024)
Model-Driven Subspaces for Large-Scale Optimization with Local Approximation Strategy
by: He, Yitong, et al.
Published: (2025)
by: He, Yitong, et al.
Published: (2025)
A Proximal-Gradient Method for Solving Regularized Optimization Problems with General Constraints
by: Curtis, Frank E., et al.
Published: (2025)
by: Curtis, Frank E., et al.
Published: (2025)
Local Convergence Analysis of ADMM for Nonconvex Composite Optimization
by: Xie, Xiyuan, et al.
Published: (2026)
by: Xie, Xiyuan, et al.
Published: (2026)
Simplex Frank-Wolfe: Linear Convergence and Its Numerical Efficiency for Convex Optimization over Polytopes
by: Wang, Haoning, et al.
Published: (2025)
by: Wang, Haoning, et al.
Published: (2025)
Inexact Riemannian Gradient Descent Method for Nonconvex Optimization
by: Zhou, Juan, et al.
Published: (2024)
by: Zhou, Juan, et al.
Published: (2024)
Accelerated Natural Gradient Method for Parametric Manifold Optimization
by: Li, Chenyi, et al.
Published: (2025)
by: Li, Chenyi, et al.
Published: (2025)
Asymptotic behaviour of coupled random dynamical systems with multiscale aspects
by: Luke, D. Russell, et al.
Published: (2026)
by: Luke, D. Russell, et al.
Published: (2026)
Performance Estimation for Smooth and Strongly Convex Sets
by: Luner, Alan, et al.
Published: (2024)
by: Luner, Alan, et al.
Published: (2024)
Dynamic FISTA for Convex Composite Bi-Level Optimization
by: Merchav, Roey, et al.
Published: (2024)
by: Merchav, Roey, et al.
Published: (2024)
Asymptotic Convergence and Stability of Adaptive Gradient Methods in Smooth Non-convex Optimization
by: Jin, Ruinan, et al.
Published: (2026)
by: Jin, Ruinan, et al.
Published: (2026)
Similar Items
-
Fast Frank--Wolfe Algorithms with Adaptive Bregman Step-Size for Weakly Convex Functions
by: Takahashi, Shota, et al.
Published: (2025) -
On Difference-of-SOS and Difference-of-Convex-SOS Decompositions for Polynomials
by: Niu, Yi-Shuai, et al.
Published: (2018) -
A Proximal Stochastic Gradient Method with Adaptive Step Size and Variance Reduction for Convex Composite Optimization
by: Fang, Changjie, et al.
Published: (2025) -
MGProx: A nonsmooth multigrid proximal gradient method with adaptive restriction for strongly convex optimization
by: Ang, Andersen, et al.
Published: (2023) -
On the Convergence Rates of Iterative Regularization Algorithms for Composite Bi-Level Optimization
by: Shtern, Shimrit, et al.
Published: (2025)