An over-relaxed ADMM for separable convex programming and its applications to statistical learning
Fuente:
arXiv
Guardado en:
| Autor principal: | Ni, Renyuan |
|---|---|
| Formato: | Preprint |
| Publicado: |
2024
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
On the strength of Burer's lifted convex relaxation to quadratic programming with ball constraints
por: Kılınç-Karzan, Fatma, et al.
Publicado: (2024)
por: Kılınç-Karzan, Fatma, et al.
Publicado: (2024)
ADMM for 0/1 D-Opt and MESP relaxations
por: Ponte, Gabriel, et al.
Publicado: (2024)
por: Ponte, Gabriel, et al.
Publicado: (2024)
An adaptive linearized alternating direction multiplier method with a relaxation step for convex programming
por: Wang, Boran
Publicado: (2024)
por: Wang, Boran
Publicado: (2024)
Decentralized non-convex optimization via bi-level SQP and ADMM
por: Stomberg, Gösta, et al.
Publicado: (2022)
por: Stomberg, Gösta, et al.
Publicado: (2022)
Convergence for nonconvex ADMM, with applications to CT imaging
por: Barber, Rina Foygel, et al.
Publicado: (2020)
por: Barber, Rina Foygel, et al.
Publicado: (2020)
On the supporting quasi-hyperplane and separation theorem of geodesic convex sets with applications on Riemannian manifolds
por: Zhou, Li-wen, et al.
Publicado: (2024)
por: Zhou, Li-wen, et al.
Publicado: (2024)
A relative-error inexact ADMM splitting algorithm for convex optimization with inertial effects
por: Alves, M. Marques, et al.
Publicado: (2024)
por: Alves, M. Marques, et al.
Publicado: (2024)
A hierarchy of convex relaxations for the total variation distance
por: Lasserre, Jean-Bernard
Publicado: (2024)
por: Lasserre, Jean-Bernard
Publicado: (2024)
Tight semidefinite programming relaxations for sparse box-constrained quadratic programs
por: Khajavirad, Aida
Publicado: (2026)
por: Khajavirad, Aida
Publicado: (2026)
Non-convex Pose Graph Optimization in SLAM via Proximal Linearized Riemannian ADMM
por: Chen, Xin, et al.
Publicado: (2024)
por: Chen, Xin, et al.
Publicado: (2024)
ADMM-Tracking Gradient for Distributed Optimization over Asynchronous and Unreliable Networks
por: Carnevale, Guido, et al.
Publicado: (2023)
por: Carnevale, Guido, et al.
Publicado: (2023)
On the integrality gap of convex mixed-integer programs
por: Kocuk, Burak, et al.
Publicado: (2024)
por: Kocuk, Burak, et al.
Publicado: (2024)
On semidefinite descriptions for convex hulls of quadratic programs
por: Wang, Alex L., et al.
Publicado: (2024)
por: Wang, Alex L., et al.
Publicado: (2024)
BC-ADMM: An Efficient Non-convex Constrained Optimizer with Robotic Applications
por: Pan, Zherong, et al.
Publicado: (2025)
por: Pan, Zherong, et al.
Publicado: (2025)
An accelerated semi-proximal ADMM with applications to multi-block sparse optimization problems
por: Liu, Peng, et al.
Publicado: (2025)
por: Liu, Peng, et al.
Publicado: (2025)
Reinforcement learning for adaptive interior point methods in convex quadratic programming
por: Bertoncini, Jeremy, et al.
Publicado: (2025)
por: Bertoncini, Jeremy, et al.
Publicado: (2025)
First-order SDSOS-convex semi-algebraic optimization and exact SOCP relaxations
por: Yang, Chengmiao, et al.
Publicado: (2025)
por: Yang, Chengmiao, et al.
Publicado: (2025)
Semidefinite relaxations for nonlinear elasticity with energies convex in the Cauchy-Green strain tensor
por: Henrion, Didier, et al.
Publicado: (2026)
por: Henrion, Didier, et al.
Publicado: (2026)
Numerical analysis of the convex relaxation of the barrier parameter functional of self-concordant barriers
por: Pirau, Vitali, et al.
Publicado: (2025)
por: Pirau, Vitali, et al.
Publicado: (2025)
Hypodifferentials of nonsmooth convex functions and their applications to nonsmooth convex optimization
por: Dolgopolik, M. V.
Publicado: (2023)
por: Dolgopolik, M. V.
Publicado: (2023)
Dynamic programming and dimensionality in convex stochastic optimization and control
por: Pennanen, Teemu, et al.
Publicado: (2025)
por: Pennanen, Teemu, et al.
Publicado: (2025)
Solving separable convex optimization problems: Faster prediction-correction framework
por: Zhang, Tao, et al.
Publicado: (2023)
por: Zhang, Tao, et al.
Publicado: (2023)
On moment relaxations for linear state feedback controller synthesis with non-convex quadratic costs and constraints
por: Gramlich, Dennis, et al.
Publicado: (2024)
por: Gramlich, Dennis, et al.
Publicado: (2024)
Tightening convex relaxations of trained neural networks: a unified approach for convex and S-shaped activations
por: Carrasco, Pablo, et al.
Publicado: (2024)
por: Carrasco, Pablo, et al.
Publicado: (2024)
A Partition-Based Implementation of the Relaxed ADMM for Distributed Convex Optimization over Lossy Networks
por: Bastianello, Nicola, et al.
Publicado: (2018)
por: Bastianello, Nicola, et al.
Publicado: (2018)
Convex semi-infinite programming algorithms with inexact separation oracles
por: Oustry, Antoine, et al.
Publicado: (2023)
por: Oustry, Antoine, et al.
Publicado: (2023)
Schrödinger bridge with transport relaxation
por: Jiang, Yifan, et al.
Publicado: (2026)
por: Jiang, Yifan, et al.
Publicado: (2026)
Computing AD-compatible subgradients of convex relaxations of implicit functions
por: Song, Yingkai, et al.
Publicado: (2025)
por: Song, Yingkai, et al.
Publicado: (2025)
Sharpness and well-conditioning of nonsmooth convex formulations in statistical signal recovery
por: Ding, Lijun, et al.
Publicado: (2023)
por: Ding, Lijun, et al.
Publicado: (2023)
Sparse learning with concave regularization: relaxation of the irrepresentable condition
por: Cerone, V., et al.
Publicado: (2025)
por: Cerone, V., et al.
Publicado: (2025)
ALiA: Adaptive Linearized ADMM
por: Jang, Uijeong, et al.
Publicado: (2026)
por: Jang, Uijeong, et al.
Publicado: (2026)
Centering ADMM for the Semidefinite Relaxation of the QAP
por: Kanoh, Shin-ichi, et al.
Publicado: (2020)
por: Kanoh, Shin-ichi, et al.
Publicado: (2020)
A twice continuously differentiable penalty function for nonlinear semidefinite programming problems and its application
por: Yamakawa, Yuya
Publicado: (2025)
por: Yamakawa, Yuya
Publicado: (2025)
Decision Making under Costly Sequential Information Acquisition: the Paradigm of Reversible and Irreversible Decisions
por: Xu, Renyuan, et al.
Publicado: (2023)
por: Xu, Renyuan, et al.
Publicado: (2023)
Distributed Optimization over Lossy Networks via Relaxed Peaceman-Rachford Splitting: a Robust ADMM Approach
por: Bastianello, Nicola, et al.
Publicado: (2018)
por: Bastianello, Nicola, et al.
Publicado: (2018)
A new separable property of the joint numerical range of quadratic functions and its applications to the Smallest Enclosing Ball Problem
por: Nguyen, Van-Bong, et al.
Publicado: (2025)
por: Nguyen, Van-Bong, et al.
Publicado: (2025)
On the tightness of linear relaxations of alternative mixed integer programming formulations for the generator maintenance scheduling problem
por: Andrade, Tiago
Publicado: (2025)
por: Andrade, Tiago
Publicado: (2025)
On the (linear) convergence of Generalized Newton Inexact ADMM
por: Frangella, Zachary, et al.
Publicado: (2023)
por: Frangella, Zachary, et al.
Publicado: (2023)
Alternating Direction Method of Multipliers for nonlinear constrained convex problems and applications to distributed resource allocation and constrained machine learning
por: Xiong, Zhengjie, et al.
Publicado: (2026)
por: Xiong, Zhengjie, et al.
Publicado: (2026)
A matrix-free interior point continuous trajectory for linearly constrained convex programming
por: Qian, Xun, et al.
Publicado: (2024)
por: Qian, Xun, et al.
Publicado: (2024)
Ejemplares similares
-
On the strength of Burer's lifted convex relaxation to quadratic programming with ball constraints
por: Kılınç-Karzan, Fatma, et al.
Publicado: (2024) -
ADMM for 0/1 D-Opt and MESP relaxations
por: Ponte, Gabriel, et al.
Publicado: (2024) -
An adaptive linearized alternating direction multiplier method with a relaxation step for convex programming
por: Wang, Boran
Publicado: (2024) -
Decentralized non-convex optimization via bi-level SQP and ADMM
por: Stomberg, Gösta, et al.
Publicado: (2022) -
Convergence for nonconvex ADMM, with applications to CT imaging
por: Barber, Rina Foygel, et al.
Publicado: (2020)