An Inexact Proximal Linearized DC Algorithm with Provably Terminating Inner Loop
Fuente:
arXiv
Guardado en:
| Autores principales: | Zhang, Yi, Yamada, Isao |
|---|---|
| Formato: | Preprint |
| Publicado: |
2023
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
Inexact Proximal Point Algorithms for Zeroth-Order Global Optimization
por: Zhang, Minxin, et al.
Publicado: (2024)
por: Zhang, Minxin, et al.
Publicado: (2024)
Alternating Gradient-Type Algorithm for Bilevel Optimization with Inexact Lower-Level Solutions via Moreau Envelope-based Reformulation
por: Bai, Xiaoning, et al.
Publicado: (2024)
por: Bai, Xiaoning, et al.
Publicado: (2024)
Approximate Bregman Proximal Gradient Algorithm for Relatively Smooth Nonconvex Optimization
por: Takahashi, Shota, et al.
Publicado: (2023)
por: Takahashi, Shota, et al.
Publicado: (2023)
Cubic Regularization Technique of the Newton Method for Vector Optimization
por: Ghosh, Debdas
Publicado: (2025)
por: Ghosh, Debdas
Publicado: (2025)
Exploiting cone approximations in an augmented Lagrangian method for conic optimization
por: Fukuda, Mituhiro, et al.
Publicado: (2024)
por: Fukuda, Mituhiro, et al.
Publicado: (2024)
Switching Point Optimization for Abstract Parabolic Equations
por: Buchheim, Christoph, et al.
Publicado: (2026)
por: Buchheim, Christoph, et al.
Publicado: (2026)
An Inexact Proximal Newton Method for Nonconvex Composite Minimization
por: Zhu, Hong
Publicado: (2024)
por: Zhu, Hong
Publicado: (2024)
An Efficient Stochastic First-Order Algorithm for Nonconvex-Strongly Concave Minimax Optimization beyond Lipschitz Smoothness
por: Gao, Yan, et al.
Publicado: (2026)
por: Gao, Yan, et al.
Publicado: (2026)
A Refined Proximal Algorithm for Nonconvex Multiobjective Optimization in Hilbert Spaces
por: Bento, G. C., et al.
Publicado: (2024)
por: Bento, G. C., et al.
Publicado: (2024)
An Inexact Regularized Proximal Newton Method without Line Search
por: Dahl, Simeon vom, et al.
Publicado: (2024)
por: Dahl, Simeon vom, et al.
Publicado: (2024)
Inexact DC Algorithms in Hilbert Spaces with Applications to PDE-Constrained Optimization
por: Khanh, P. D., et al.
Publicado: (2026)
por: Khanh, P. D., et al.
Publicado: (2026)
Composite Optimization with Indicator Functions: Stationary Duality and a Semismooth Newton Method
por: Zhang, Penghe, et al.
Publicado: (2025)
por: Zhang, Penghe, et al.
Publicado: (2025)
Continuous-Time Dynamics of the Difference-of-Convex Algorithm
por: Niu, Yi-Shuai
Publicado: (2026)
por: Niu, Yi-Shuai
Publicado: (2026)
Flexible block-iterative analysis for the Frank-Wolfe algorithm
por: Braun, Gábor, et al.
Publicado: (2024)
por: Braun, Gábor, et al.
Publicado: (2024)
Majorization-minimization Bregman proximal gradient algorithms for NMF with the Kullback--Leibler divergence
por: Takahashi, Shota, et al.
Publicado: (2024)
por: Takahashi, Shota, et al.
Publicado: (2024)
One-parameter Filled Function Method for Non-convex Multi-objective Optimization Problems
por: Adhikary, Bikram, et al.
Publicado: (2026)
por: Adhikary, Bikram, et al.
Publicado: (2026)
Level Constrained First Order Methods for Function Constrained Optimization
por: Boob, Digvijay, et al.
Publicado: (2022)
por: Boob, Digvijay, et al.
Publicado: (2022)
A double iteratively reweighted algorithm for solving group sparse nonconvex optimization models
por: Nie, Wanqin, et al.
Publicado: (2025)
por: Nie, Wanqin, et al.
Publicado: (2025)
First- and Second-Order Stochastic Adaptive Regularization with Cubics: High Probability Iteration and Sample Complexity
por: Scheinberg, Katya, et al.
Publicado: (2023)
por: Scheinberg, Katya, et al.
Publicado: (2023)
Measuring dissimilarity between convex cones by means of max-min angles
por: de Oliveira, Welington, et al.
Publicado: (2025)
por: de Oliveira, Welington, et al.
Publicado: (2025)
QPALM: A Proximal Augmented Lagrangian Method for Nonconvex Quadratic Programs
por: Hermans, Ben, et al.
Publicado: (2020)
por: Hermans, Ben, et al.
Publicado: (2020)
A Single-loop Proximal Subgradient Algorithm for A Class Structured Fractional Programs
por: Han, Deren, et al.
Publicado: (2025)
por: Han, Deren, et al.
Publicado: (2025)
Bregman Proximal Linearized ADMM for Minimizing Separable Sums Coupled by a Difference of Functions
por: Pham, Tan Nhat, et al.
Publicado: (2024)
por: Pham, Tan Nhat, et al.
Publicado: (2024)
Nonsmooth Riemannian optimization with inexact manifold primitives via bundle methods
por: Díaz, Mateo, et al.
Publicado: (2026)
por: Díaz, Mateo, et al.
Publicado: (2026)
On the Convergence and Complexity of Proximal Gradient and Accelerated Proximal Gradient Methods under Adaptive Gradient Estimation
por: Bollapragada, Raghu, et al.
Publicado: (2025)
por: Bollapragada, Raghu, et al.
Publicado: (2025)
A multiscale Consensus-Based algorithm for multi-level optimization
por: Herty, Michael, et al.
Publicado: (2024)
por: Herty, Michael, et al.
Publicado: (2024)
Model-Driven Subspaces for Large-Scale Optimization with Local Approximation Strategy
por: He, Yitong, et al.
Publicado: (2025)
por: He, Yitong, et al.
Publicado: (2025)
Retractions by Alternating Projections
por: Chen, Shixiang, et al.
Publicado: (2026)
por: Chen, Shixiang, et al.
Publicado: (2026)
A trust-region method for optimal control of ODEs with continuous-or-off controls and TV regularization
por: Friedemann, Markus, et al.
Publicado: (2025)
por: Friedemann, Markus, et al.
Publicado: (2025)
A smoothed proximal trust-region algorithm for nonconvex optimization problems with $L^p$-regularization, $p\in (0,1)$
por: Antil, Harbir, et al.
Publicado: (2025)
por: Antil, Harbir, et al.
Publicado: (2025)
Asymptotic Convergence and Stability of Adaptive Gradient Methods in Smooth Non-convex Optimization
por: Jin, Ruinan, et al.
Publicado: (2026)
por: Jin, Ruinan, et al.
Publicado: (2026)
McCormick envelopes in mixed-integer PDE-constrained optimization
por: Leyffer, Sven, et al.
Publicado: (2024)
por: Leyffer, Sven, et al.
Publicado: (2024)
Modified limited memory BFGS with displacement aggregation and its application to the largest eigenvalue problem
por: Sahu, Manish Kumar, et al.
Publicado: (2023)
por: Sahu, Manish Kumar, et al.
Publicado: (2023)
On Discrete Subproblems in Integer Optimal Control with Total Variation Regularization in Two Dimensions
por: Manns, Paul, et al.
Publicado: (2024)
por: Manns, Paul, et al.
Publicado: (2024)
On the Convergence Rates of Iterative Regularization Algorithms for Composite Bi-Level Optimization
por: Shtern, Shimrit, et al.
Publicado: (2025)
por: Shtern, Shimrit, et al.
Publicado: (2025)
Error Bounds for Rank-one Double Nonnegative Reformulations of QAP and Exact Penalties
por: Qian, Yitian, et al.
Publicado: (2024)
por: Qian, Yitian, et al.
Publicado: (2024)
A Stochastic Block-coordinate Proximal Newton Method for Nonconvex Composite Minimization
por: Zhu, Hong, et al.
Publicado: (2024)
por: Zhu, Hong, et al.
Publicado: (2024)
Alternating Iteratively Reweighted $\ell_1$ and Subspace Newton Algorithms for Nonconvex Sparse Optimization
por: Wang, Hao, et al.
Publicado: (2024)
por: Wang, Hao, et al.
Publicado: (2024)
A proximal splitting algorithm for generalized DC programming with applications in signal recovery
por: Pham, Tan Nhat, et al.
Publicado: (2024)
por: Pham, Tan Nhat, et al.
Publicado: (2024)
Variational Poisson Denoising via Augmented Lagrangian Methods
por: Kanzow, Christian, et al.
Publicado: (2023)
por: Kanzow, Christian, et al.
Publicado: (2023)
Ejemplares similares
-
Inexact Proximal Point Algorithms for Zeroth-Order Global Optimization
por: Zhang, Minxin, et al.
Publicado: (2024) -
Alternating Gradient-Type Algorithm for Bilevel Optimization with Inexact Lower-Level Solutions via Moreau Envelope-based Reformulation
por: Bai, Xiaoning, et al.
Publicado: (2024) -
Approximate Bregman Proximal Gradient Algorithm for Relatively Smooth Nonconvex Optimization
por: Takahashi, Shota, et al.
Publicado: (2023) -
Cubic Regularization Technique of the Newton Method for Vector Optimization
por: Ghosh, Debdas
Publicado: (2025) -
Exploiting cone approximations in an augmented Lagrangian method for conic optimization
por: Fukuda, Mituhiro, et al.
Publicado: (2024)