A block-coordinate descent framework for non-convex composite optimization. Application to sparse precision matrix estimation
Fuente:
arXiv
Guardado en:
| Autor principal: | Lauga, Guillaume |
|---|---|
| Formato: | Preprint |
| Publicado: |
2026
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
A flexible block-coordinate forward-backward algorithm for non-smooth and non-convex optimization
por: Briceño-Arias, Luis, et al.
Publicado: (2025)
por: Briceño-Arias, Luis, et al.
Publicado: (2025)
Riemannian coordinate descent algorithms on matrix manifolds
por: Han, Andi, et al.
Publicado: (2024)
por: Han, Andi, et al.
Publicado: (2024)
Proximal basin hopping: global optimization with guarantees
por: Lauga, Guillaume, et al.
Publicado: (2026)
por: Lauga, Guillaume, et al.
Publicado: (2026)
Scalable iterative pruning of large language and vision models using block coordinate descent
por: Rosenberg, Gili, et al.
Publicado: (2024)
por: Rosenberg, Gili, et al.
Publicado: (2024)
Monotone and nonmonotone linearized block coordinate descent methods for nonsmooth composite optimization problems
por: Nabou, Yassine, et al.
Publicado: (2025)
por: Nabou, Yassine, et al.
Publicado: (2025)
Gradient descent in matrix factorization: Understanding large initialization
por: Chen, Hengchao, et al.
Publicado: (2023)
por: Chen, Hengchao, et al.
Publicado: (2023)
The Mixing method: low-rank coordinate descent for semidefinite programming with diagonal constraints
por: Wang, Po-Wei, et al.
Publicado: (2017)
por: Wang, Po-Wei, et al.
Publicado: (2017)
A short proof of near-linear convergence of adaptive gradient descent under fourth-order growth and convexity
por: Davis, Damek, et al.
Publicado: (2026)
por: Davis, Damek, et al.
Publicado: (2026)
Convergence and complexity of block majorization-minimization for constrained block-Riemannian optimization
por: Li, Yuchen, et al.
Publicado: (2023)
por: Li, Yuchen, et al.
Publicado: (2023)
Random coordinate descent methods for nonseparable composite optimization
por: Chorobura, Flavia, et al.
Publicado: (2022)
por: Chorobura, Flavia, et al.
Publicado: (2022)
An inexact LPA for DC composite optimization and application to matrix completions with outliers
por: Tao, Ting, et al.
Publicado: (2023)
por: Tao, Ting, et al.
Publicado: (2023)
Fast sparse optimization via adaptive shrinkage
por: Cerone, Vito, et al.
Publicado: (2025)
por: Cerone, Vito, et al.
Publicado: (2025)
Cubic regularized subspace Newton for non-convex optimization
por: Zhao, Jim, et al.
Publicado: (2024)
por: Zhao, Jim, et al.
Publicado: (2024)
A simple uniformly optimal method without line search for convex optimization
por: Li, Tianjiao, et al.
Publicado: (2023)
por: Li, Tianjiao, et al.
Publicado: (2023)
Non-geodesically-convex optimization in the Wasserstein space
por: Luu, Hoang Phuc Hau, et al.
Publicado: (2024)
por: Luu, Hoang Phuc Hau, et al.
Publicado: (2024)
A multilevel approach to accelerate the training of Transformers
por: Lauga, Guillaume, et al.
Publicado: (2025)
por: Lauga, Guillaume, et al.
Publicado: (2025)
A theoretical and empirical study of new adaptive algorithms with additional momentum steps and shifted updates for stochastic non-convex optimization
por: Alecsa, Cristian Daniel
Publicado: (2021)
por: Alecsa, Cristian Daniel
Publicado: (2021)
Learning based convex approximation for constrained parametric optimization
por: Liu, Kang, et al.
Publicado: (2025)
por: Liu, Kang, et al.
Publicado: (2025)
Nesterov acceleration in benignly non-convex landscapes
por: Gupta, Kanan, et al.
Publicado: (2024)
por: Gupta, Kanan, et al.
Publicado: (2024)
Manifold constrained steepest descent
por: Yang, Kaiwei, et al.
Publicado: (2026)
por: Yang, Kaiwei, et al.
Publicado: (2026)
Instance-optimal stochastic convex optimization: Can we improve upon sample-average and robust stochastic approximation?
por: Jiang, Liwei, et al.
Publicado: (2026)
por: Jiang, Liwei, et al.
Publicado: (2026)
Conditional simulation via entropic optimal transport: Toward non-parametric estimation of conditional Brenier maps
por: Baptista, Ricardo, et al.
Publicado: (2024)
por: Baptista, Ricardo, et al.
Publicado: (2024)
Non-convergence to global minimizers for Adam and stochastic gradient descent optimization and constructions of local minimizers in the training of artificial neural networks
por: Jentzen, Arnulf, et al.
Publicado: (2024)
por: Jentzen, Arnulf, et al.
Publicado: (2024)
Learning mirror maps in policy mirror descent
por: Alfano, Carlo, et al.
Publicado: (2024)
por: Alfano, Carlo, et al.
Publicado: (2024)
Gauss-Southwell type descent methods for low-rank matrix optimization
por: Olikier, Guillaume, et al.
Publicado: (2023)
por: Olikier, Guillaume, et al.
Publicado: (2023)
Stochastic dual coordinate descent with adaptive heavy ball momentum for linearly constrained convex optimization
por: Zeng, Yun, et al.
Publicado: (2023)
por: Zeng, Yun, et al.
Publicado: (2023)
Empirical and computer-aided robustness analysis of long-step and accelerated methods in smooth convex optimization
por: Vernimmen, Pierre, et al.
Publicado: (2025)
por: Vernimmen, Pierre, et al.
Publicado: (2025)
New logarithmic step size for stochastic gradient descent
por: Shamaee, M. Soheil, et al.
Publicado: (2024)
por: Shamaee, M. Soheil, et al.
Publicado: (2024)
A framework for bilevel optimization that enables stochastic and global variance reduction algorithms
por: Dagréou, Mathieu, et al.
Publicado: (2022)
por: Dagréou, Mathieu, et al.
Publicado: (2022)
Flattened one-bit stochastic gradient descent: compressed distributed optimization with controlled variance
por: Stollenwerk, Alexander, et al.
Publicado: (2024)
por: Stollenwerk, Alexander, et al.
Publicado: (2024)
Iterative regularization in classification via hinge loss diagonal descent
por: Apidopoulos, Vassilis, et al.
Publicado: (2022)
por: Apidopoulos, Vassilis, et al.
Publicado: (2022)
Mitigating optimistic bias in entropic risk estimation and optimization
por: Sadana, Utsav, et al.
Publicado: (2024)
por: Sadana, Utsav, et al.
Publicado: (2024)
Non-convex entropic mean-field optimization via Best Response flow
por: Lascu, Razvan-Andrei, et al.
Publicado: (2025)
por: Lascu, Razvan-Andrei, et al.
Publicado: (2025)
Introduction: Swarm-based gradient descent for non convex optimization
por: Tikko, Janina
Publicado: (2024)
por: Tikko, Janina
Publicado: (2024)
Accelerating nuclear-norm regularized low-rank matrix optimization through Burer-Monteiro decomposition
por: Lee, Ching-pei, et al.
Publicado: (2022)
por: Lee, Ching-pei, et al.
Publicado: (2022)
On the global convergence of gradient descent for wide shallow models with bounded nonlinearities
por: Petit, Romain, et al.
Publicado: (2026)
por: Petit, Romain, et al.
Publicado: (2026)
On exploration of an interior mirror descent flow for stochastic nonconvex constrained problem
por: Ding, Kuangyu, et al.
Publicado: (2025)
por: Ding, Kuangyu, et al.
Publicado: (2025)
The duality structure gradient descent algorithm: analysis and applications to neural networks
por: Flynn, Thomas
Publicado: (2017)
por: Flynn, Thomas
Publicado: (2017)
Bayesian optimization as a flexible and efficient design framework for sustainable process systems
por: Paulson, Joel A., et al.
Publicado: (2024)
por: Paulson, Joel A., et al.
Publicado: (2024)
Characterizations of inexact proximal operators
por: Lauga, Guillaume, et al.
Publicado: (2026)
por: Lauga, Guillaume, et al.
Publicado: (2026)
Ejemplares similares
-
A flexible block-coordinate forward-backward algorithm for non-smooth and non-convex optimization
por: Briceño-Arias, Luis, et al.
Publicado: (2025) -
Riemannian coordinate descent algorithms on matrix manifolds
por: Han, Andi, et al.
Publicado: (2024) -
Proximal basin hopping: global optimization with guarantees
por: Lauga, Guillaume, et al.
Publicado: (2026) -
Scalable iterative pruning of large language and vision models using block coordinate descent
por: Rosenberg, Gili, et al.
Publicado: (2024) -
Monotone and nonmonotone linearized block coordinate descent methods for nonsmooth composite optimization problems
por: Nabou, Yassine, et al.
Publicado: (2025)