Proximal gradient methods beyond monotony
Fuente:
arXiv
Saved in:
| Main Author: | De Marchi, Alberto |
|---|---|
| Format: | Preprint |
| Published: |
2022
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Cutting plane methods with gradient-based heuristics
by: Bùi, Hòa T., et al.
Published: (2025)
by: Bùi, Hòa T., et al.
Published: (2025)
Proximal gradient methods in Banach spaces
by: Wachsmuth, Gerd, et al.
Published: (2025)
by: Wachsmuth, Gerd, et al.
Published: (2025)
An interior proximal gradient method for nonconvex optimization
by: De Marchi, Alberto, et al.
Published: (2022)
by: De Marchi, Alberto, et al.
Published: (2022)
A condensing approach for linear-quadratic optimization with geometric constraints
by: De Marchi, Alberto
Published: (2025)
by: De Marchi, Alberto
Published: (2025)
Proximal gradient methods with inexact oracle of degree q for composite optimization
by: Nabou, Yassine, et al.
Published: (2024)
by: Nabou, Yassine, et al.
Published: (2024)
Proximal gradient-type method with generalized distance and convergence analysis without global descent lemma
by: Yagishita, Shotaro, et al.
Published: (2025)
by: Yagishita, Shotaro, et al.
Published: (2025)
Reinforcement learning for adaptive interior point methods in convex quadratic programming
by: Bertoncini, Jeremy, et al.
Published: (2025)
by: Bertoncini, Jeremy, et al.
Published: (2025)
Collision Avoidance using Iterative Dynamic and Nonlinear Programming with Adaptive Grid Refinements
by: Richter, Rebecca, et al.
Published: (2023)
by: Richter, Rebecca, et al.
Published: (2023)
A nonmonotone extrapolated proximal gradient-subgradient algorithm beyond global Lipschitz gradient continuity
by: Yang, Lei, et al.
Published: (2025)
by: Yang, Lei, et al.
Published: (2025)
Proximal gradient descent on the smoothed duality gap to solve saddle point problems
by: Fercoq, Olivier
Published: (2025)
by: Fercoq, Olivier
Published: (2025)
Affordable mixed-integer Lagrangian methods: optimality conditions and convergence analysis
by: De Marchi, Alberto
Published: (2024)
by: De Marchi, Alberto
Published: (2024)
Convergence Analysis of the Wasserstein Proximal Algorithm beyond Geodesic Convexity
by: Zhu, Shuailong, et al.
Published: (2025)
by: Zhu, Shuailong, et al.
Published: (2025)
Lower and upper bounds of the convergence rate of gradient methods with composite noise in gradient
by: Vasin, Artem, et al.
Published: (2026)
by: Vasin, Artem, et al.
Published: (2026)
Coordinate descent methods beyond smoothness and separability
by: Chorobura, Flavia, et al.
Published: (2024)
by: Chorobura, Flavia, et al.
Published: (2024)
A unified framework for inexact adaptive stepsizes in the gradient methods, the conjugate gradient methods and the quasi-Newton methods for strictly convex quadratic optimization
by: Liu, Zexian
Published: (2026)
by: Liu, Zexian
Published: (2026)
Randomized gradient-free methods in convex optimization
by: Gasnikov, Alexander, et al.
Published: (2022)
by: Gasnikov, Alexander, et al.
Published: (2022)
Proximal bundle methods for hybrid weakly convex composite optimization problems
by: Liang, Jiaming, et al.
Published: (2023)
by: Liang, Jiaming, et al.
Published: (2023)
Proximal Limited-Memory Quasi-Newton Methods for Nonsmooth Nonconvex Optimization
by: Dahl, Simeon vom, et al.
Published: (2026)
by: Dahl, Simeon vom, et al.
Published: (2026)
On the convergence analysis of the decentralized projected gradient descent method
by: Choi, Woocheol, et al.
Published: (2023)
by: Choi, Woocheol, et al.
Published: (2023)
On the complexity of proximal gradient and proximal gradient-Newton-CG methods for \(\ell_1\)-regularized Optimization
by: Zhu, Hong
Published: (2025)
by: Zhu, Hong
Published: (2025)
Riemannian conditional gradient methods for composite optimization problems
by: Chen, Kangming, et al.
Published: (2024)
by: Chen, Kangming, et al.
Published: (2024)
Adaptive generalized conditional gradient method for multiobjective optimization
by: Gebrie, Anteneh Getachew, et al.
Published: (2024)
by: Gebrie, Anteneh Getachew, et al.
Published: (2024)
Unifying restart accelerated gradient and proximal bundle methods
by: Liang, Jiaming
Published: (2025)
by: Liang, Jiaming
Published: (2025)
Bilevel gradient methods and the Morse parametric qualification condition
by: Bolte, Jérôme, et al.
Published: (2025)
by: Bolte, Jérôme, et al.
Published: (2025)
Implicit augmented Lagrangian and generalized optimization
by: De Marchi, Alberto
Published: (2023)
by: De Marchi, Alberto
Published: (2023)
Integral control of the proximal gradient method for unbiased sparse optimization
by: Cerone, V., et al.
Published: (2025)
by: Cerone, V., et al.
Published: (2025)
Variational Analysis of Proximal Compositions and Integral Proximal Mixtures
by: Combettes, Patrick L., et al.
Published: (2024)
by: Combettes, Patrick L., et al.
Published: (2024)
On the convergence of conditional gradient method for unbounded multiobjective optimization problems
by: Chen, Wang, et al.
Published: (2024)
by: Chen, Wang, et al.
Published: (2024)
Conjugate gradient methods without line search for multiobjective optimization
by: Chen, Wang, et al.
Published: (2023)
by: Chen, Wang, et al.
Published: (2023)
Convergence of the momentum method for semialgebraic functions with locally Lipschitz gradients
by: Josz, Cédric, et al.
Published: (2023)
by: Josz, Cédric, et al.
Published: (2023)
The stochastic Ravine accelerated gradient method with general extrapolation coefficients
by: Attouch, Hedy, et al.
Published: (2024)
by: Attouch, Hedy, et al.
Published: (2024)
A single-loop proximal-conditional-gradient penalty method
by: Zhang, Hao, et al.
Published: (2024)
by: Zhang, Hao, et al.
Published: (2024)
A mechanism of three-dimensional quadratic termination for the gradient method with applications
by: Huang, Yakui, et al.
Published: (2022)
by: Huang, Yakui, et al.
Published: (2022)
Non-linear in-band interference cancellation on base of conjugate gradients method
by: Degtyarev, Alexander, et al.
Published: (2026)
by: Degtyarev, Alexander, et al.
Published: (2026)
About some works of Boris Polyak on convergence of gradient methods and their development
by: Ablaev, Seydamet, et al.
Published: (2023)
by: Ablaev, Seydamet, et al.
Published: (2023)
Primal-dual proximal bundle and conditional gradient methods for convex problems
by: Liang, Jiaming
Published: (2024)
by: Liang, Jiaming
Published: (2024)
Efficiency of stochastic coordinate proximal gradient methods on nonseparable composite optimization
by: Necoara, I., et al.
Published: (2021)
by: Necoara, I., et al.
Published: (2021)
Newton methods beyond Hessian Lipschitz continuity: A nonlinear preconditioning approach
by: Bodard, Alexander, et al.
Published: (2026)
by: Bodard, Alexander, et al.
Published: (2026)
Anisotropic Proximal Gradient
by: Laude, Emanuel, et al.
Published: (2022)
by: Laude, Emanuel, et al.
Published: (2022)
Convergence of linesearch-based generalized conditional gradient methods without smoothness assumptions
by: Yagishita, Shotaro
Published: (2025)
by: Yagishita, Shotaro
Published: (2025)
Similar Items
-
Cutting plane methods with gradient-based heuristics
by: Bùi, Hòa T., et al.
Published: (2025) -
Proximal gradient methods in Banach spaces
by: Wachsmuth, Gerd, et al.
Published: (2025) -
An interior proximal gradient method for nonconvex optimization
by: De Marchi, Alberto, et al.
Published: (2022) -
A condensing approach for linear-quadratic optimization with geometric constraints
by: De Marchi, Alberto
Published: (2025) -
Proximal gradient methods with inexact oracle of degree q for composite optimization
by: Nabou, Yassine, et al.
Published: (2024)