Block majorization-minimization with diminishing radius for constrained nonsmooth nonconvex optimization
Fuente:
arXiv
Saved in:
| Main Authors: | Lyu, Hanbaek, Li, Yuchen |
|---|---|
| Format: | Preprint |
| Published: |
2020
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Convergence and complexity of block majorization-minimization for constrained block-Riemannian optimization
by: Li, Yuchen, et al.
Published: (2023)
by: Li, Yuchen, et al.
Published: (2023)
Stochastic optimization with arbitrary recurrent data sampling
by: Powell, William G., et al.
Published: (2024)
by: Powell, William G., et al.
Published: (2024)
Convergence and Complexity Guarantee for Inexact First-order Riemannian Optimization Algorithms
by: Li, Yuchen, et al.
Published: (2024)
by: Li, Yuchen, et al.
Published: (2024)
A single-loop SPIDER-type stochastic subgradient method for expectation-constrained nonconvex nonsmooth optimization
by: Liu, Wei, et al.
Published: (2025)
by: Liu, Wei, et al.
Published: (2025)
The inexact power augmented Lagrangian method for constrained nonconvex optimization
by: Bodard, Alexander, et al.
Published: (2024)
by: Bodard, Alexander, et al.
Published: (2024)
Subgradient sampling for nonsmooth nonconvex minimization
by: Bolte, Jérôme, et al.
Published: (2022)
by: Bolte, Jérôme, et al.
Published: (2022)
On the Complexity of First-Order Methods in Stochastic Bilevel Optimization
by: Kwon, Jeongyeol, et al.
Published: (2024)
by: Kwon, Jeongyeol, et al.
Published: (2024)
A randomized algorithm for nonconvex minimization with inexact evaluations and complexity guarantees
by: Li, Shuyao, et al.
Published: (2023)
by: Li, Shuyao, et al.
Published: (2023)
On exploration of an interior mirror descent flow for stochastic nonconvex constrained problem
by: Ding, Kuangyu, et al.
Published: (2025)
by: Ding, Kuangyu, et al.
Published: (2025)
General framework for online-to-nonconvex conversion: Schedule-free SGD is also effective for nonconvex optimization
by: Ahn, Kwangjun, et al.
Published: (2024)
by: Ahn, Kwangjun, et al.
Published: (2024)
Adam with model exponential moving average is effective for nonconvex optimization
by: Ahn, Kwangjun, et al.
Published: (2024)
by: Ahn, Kwangjun, et al.
Published: (2024)
Stochastic ADMM with batch size adaptation for nonconvex nonsmooth optimization
by: Jin, Jiachen, et al.
Published: (2025)
by: Jin, Jiachen, et al.
Published: (2025)
Newton-CG methods for nonconvex unconstrained optimization with Hölder continuous Hessian
by: He, Chuan, et al.
Published: (2023)
by: He, Chuan, et al.
Published: (2023)
Projected gradient methods for nonconvex and stochastic smooth optimization: new complexities and auto-conditioned stepsizes
by: Lan, Guanghui, et al.
Published: (2024)
by: Lan, Guanghui, et al.
Published: (2024)
Local adapt-then-combine algorithms for distributed nonsmooth optimization: Achieving provable communication acceleration
by: Guo, Luyao, et al.
Published: (2026)
by: Guo, Luyao, et al.
Published: (2026)
Learning based convex approximation for constrained parametric optimization
by: Liu, Kang, et al.
Published: (2025)
by: Liu, Kang, et al.
Published: (2025)
Convergence rates for an inexact linearized ADMM for nonsmooth nonconvex optimization with nonlinear equality constraints
by: Bourkhissi, Lahcen El, et al.
Published: (2025)
by: Bourkhissi, Lahcen El, et al.
Published: (2025)
Variable Bregman Majorization-Minimization algorithms for nonconvex nonsmooth optimization, with application to Poisson imaging
by: Adly, Maxence, et al.
Published: (2026)
by: Adly, Maxence, et al.
Published: (2026)
An effective subgradient algorithm via Mifflin's line search for nonsmooth nonconvex multiobjective optimization
by: Maleknia, Morteza, et al.
Published: (2024)
by: Maleknia, Morteza, et al.
Published: (2024)
A stochastic smoothing framework for nonconvex-nonconcave min-sum-max problems with applications to Wasserstein distributionally robust optimization
by: Liu, Wei, et al.
Published: (2025)
by: Liu, Wei, et al.
Published: (2025)
A theory on the absence of spurious solutions for nonconvex and nonsmooth optimization
by: Josz, Cedric, et al.
Published: (2018)
by: Josz, Cedric, et al.
Published: (2018)
Nonasymptotic analysis of Stochastic Gradient Hamiltonian Monte Carlo under local conditions for nonconvex optimization
by: Akyildiz, Ömer Deniz, et al.
Published: (2020)
by: Akyildiz, Ömer Deniz, et al.
Published: (2020)
An implementable proximal-type method for computing critical points to minimization problems with a nonsmooth and nonconvex constraint
by: Sempere, Gregorio M., et al.
Published: (2024)
by: Sempere, Gregorio M., et al.
Published: (2024)
A constrained optimization approach to improve robustness of neural networks
by: Zhao, Shudian, et al.
Published: (2024)
by: Zhao, Shudian, et al.
Published: (2024)
Adaptive directional decomposition methods for nonconvex constrained optimization
by: Shi, Qiankun, et al.
Published: (2025)
by: Shi, Qiankun, et al.
Published: (2025)
Avoiding strict saddle points of nonconvex regularized problems
by: Bai, Luwei, et al.
Published: (2024)
by: Bai, Luwei, et al.
Published: (2024)
A consensus-based optimization method for nonsmooth nonconvex programs with approximated gradient descent scheme
by: Wei, Jiazhen, et al.
Published: (2025)
by: Wei, Jiazhen, et al.
Published: (2025)
Second-order methods for provably escaping strict saddle points in composite nonconvex and nonsmooth optimization
by: Bodard, Alexander, et al.
Published: (2025)
by: Bodard, Alexander, et al.
Published: (2025)
Group-blind optimal transport to group parity and its constrained variants
by: Zhou, Quan, et al.
Published: (2023)
by: Zhou, Quan, et al.
Published: (2023)
Phase retrieval via overparametrized nonconvex optimization: nonsmooth amplitude loss landscapes
by: McRae, Andrew D.
Published: (2025)
by: McRae, Andrew D.
Published: (2025)
Learning solutions to some toy constrained optimization problems in infinite dimensional Hilbert spaces
by: Mandal, Pinak
Published: (2024)
by: Mandal, Pinak
Published: (2024)
Convergence of SGD with momentum in the nonconvex case: A time window-based analysis
by: Qiu, Junwen, et al.
Published: (2024)
by: Qiu, Junwen, et al.
Published: (2024)
Regularized Overestimated Newton
by: Duan, Danny, et al.
Published: (2025)
by: Duan, Danny, et al.
Published: (2025)
Bayesian Quality-Diversity approaches for constrained optimization problems with mixed continuous, discrete and categorical variables
by: Brevault, Loic, et al.
Published: (2023)
by: Brevault, Loic, et al.
Published: (2023)
Non-convergence to global minimizers for Adam and stochastic gradient descent optimization and constructions of local minimizers in the training of artificial neural networks
by: Jentzen, Arnulf, et al.
Published: (2024)
by: Jentzen, Arnulf, et al.
Published: (2024)
A four-operator splitting algorithm for nonconvex and nonsmooth optimization
by: Alcantara, Jan Harold, et al.
Published: (2024)
by: Alcantara, Jan Harold, et al.
Published: (2024)
"Over-optimizing" for Normality: Budget-constrained Uncertainty Quantification for Contextual Decision-making
by: Wang, Yanyuan, et al.
Published: (2025)
by: Wang, Yanyuan, et al.
Published: (2025)
An accelerated first-order regularized momentum descent ascent algorithm for stochastic nonconvex-concave minimax problems
by: Zhang, Huiling, et al.
Published: (2023)
by: Zhang, Huiling, et al.
Published: (2023)
Extended alternating structure-adapted proximal gradient algorithm for nonconvex nonsmooth problems
by: Gao, Ying, et al.
Published: (2024)
by: Gao, Ying, et al.
Published: (2024)
Distributed Thompson sampling under constrained communication
by: Zerefa, Saba, et al.
Published: (2024)
by: Zerefa, Saba, et al.
Published: (2024)
Similar Items
-
Convergence and complexity of block majorization-minimization for constrained block-Riemannian optimization
by: Li, Yuchen, et al.
Published: (2023) -
Stochastic optimization with arbitrary recurrent data sampling
by: Powell, William G., et al.
Published: (2024) -
Convergence and Complexity Guarantee for Inexact First-order Riemannian Optimization Algorithms
by: Li, Yuchen, et al.
Published: (2024) -
A single-loop SPIDER-type stochastic subgradient method for expectation-constrained nonconvex nonsmooth optimization
by: Liu, Wei, et al.
Published: (2025) -
The inexact power augmented Lagrangian method for constrained nonconvex optimization
by: Bodard, Alexander, et al.
Published: (2024)