Cover Image

A New Inexact Gradient Descent Method with Applications to Nonsmooth Convex Optimization

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Khanh, Pham Duy, Mordukhovich, Boris S., Tran, Dat Ba
Format:	Preprint
Published:	2023
Subjects:	Optimization and Control
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Convergence of First-Order Algorithms with Momentum from the Perspective of an Inexact Gradient Descent Method
by: Khanh, Pham Duy, et al.
Published: (2025)

Coderivative-Based Newton Methods in Structured Nonconvex and Nonsmooth Optimization
by: Khanh, Pham Duy, et al.
Published: (2024)

Fundamental Convergence Analysis of Sharpness-Aware Minimization
by: Khanh, Pham Duy, et al.
Published: (2024)

Second-Order Subdifferential Optimality Conditions in Nonsmooth Optimization
by: Khanh, Pham Duy, et al.
Published: (2023)

Inexact Proximal Point and Tseng Algorithms with Nonsummable Errors to Solve Monotone Inclusions
by: Le, Ba Khiet, et al.
Published: (2026)

Coderivative-Based Newton Methods with Wolfe Linesearch for Nonsmooth Optimization
by: Chao, Miantao, et al.
Published: (2024)

An Inexact Proximal Framework for Nonsmooth Riemannian Difference-of-Convex Optimization
by: Jiang, Bo, et al.
Published: (2025)

Distributed and Inexact Proximal Gradient Method for Online Convex Optimization
by: Bastianello, Nicola, et al.
Published: (2020)

Characterizations of Variational Convexity and Tilt Stability via Quadratic Bundles
by: Khanh, Pham Duy, et al.
Published: (2025)

Extended SQP Methods in Nonsmooth Difference Programming Applied to Problems with Variational Inequality Constraints
by: Mordukhovich, Boris S., et al.
Published: (2025)

Nash Equilibrium and Minimax Theorems via Variational Tools of Convex Analysis
by: Bao, Nguyen Xuan Duy, et al.
Published: (2024)

Compact R-Continuity with Applications to Solving Inclusions and Convergence of Algorithms
by: Le, Ba Khiet, et al.
Published: (2025)

Inexact Zeroth-Order Nonsmooth and Nonconvex Stochastic Composite Optimization and Applications
by: Pougkakiotis, Spyridon, et al.
Published: (2025)

Adaptive Accelerated Gradient Descent Methods for Convex Optimization
by: Xu, Zeyi, et al.
Published: (2026)

Subgradient Gliding Method for Nonsmooth Convex Optimization
by: Zhu, Zhihan, et al.
Published: (2026)

Subgame Perfect Methods in Nonsmooth Convex Optimization
by: Grimmer, Benjamin, et al.
Published: (2025)

Inexactly Smooth Performance Estimation and New Optimized Gradient Methods
by: Zoll, Aaron, et al.
Published: (2026)

Riemannian Inexact Gradient Descent for Quadratic Discrimination
by: Talwar, Uday, et al.
Published: (2025)

An Inexact General Descent Method with Applications in Differential Equation-Constrained Optimization
by: Macedo, Humberto Gimenes, et al.
Published: (2025)

A Unified Inexact Stochastic ADMM for Composite Nonconvex and Nonsmooth Optimization
by: Zeng, Yuxuan, et al.
Published: (2024)

Improved Last-Iterate Convergence of Shuffling Gradient Methods for Nonsmooth Convex Optimization
by: Liu, Zijian, et al.
Published: (2025)

Two Innovations in Inexact Augmented Lagrangian Methods for Convex Optimization
by: Eckstein, Jonathan, et al.
Published: (2025)

Gradient Descent for Convex and Smooth Noisy Optimization
by: Hu, Feifei, et al.
Published: (2024)

Lipschitz-Free Mirror Descent Methods for Relatively Strongly Convex Functions with/without Absolute and Relative Inexactness
by: Alkousa, Mohammad S., et al.
Published: (2026)

An Inexact Conditional Gradient Method for Constrained Bilevel Optimization
by: Abolfazli, Nazanin, et al.
Published: (2023)

New Location Science Models with Applications to UAV-Based Disaster Relief
by: Kazemdehbashi, Sina, et al.
Published: (2025)

High-Resolution Inertial Dynamics with Time-Rescaled Gradients for Nonsmooth Convex Optimization
by: Le, Manh Hung, et al.
Published: (2026)

Inexact and Implementable Accelerated Newton Proximal Extragradient Method for Convex Optimization
by: Huang, Ziyu, et al.
Published: (2024)

Inexact DC Algorithms in Hilbert Spaces with Applications to PDE-Constrained Optimization
by: Khanh, P. D., et al.
Published: (2026)

Fixed-Point Delayed Subgradient Methods for Nonsmooth Convex Optimization Problems
by: Pankoon, Ontima, et al.
Published: (2026)

On Some Versions of Subspace Optimization Methods with Inexact Gradient Information
by: Kuruzov, Ilya, et al.
Published: (2024)

Generalized Twice Differentiability and Quadratic Bundles in Second-Order Variational Analysis
by: Khanh, Pham Duy, et al.
Published: (2025)

Clipped Gradient Methods for Nonsmooth Convex Optimization under Heavy-Tailed Noise: A Refined Analysis
by: Liu, Zijian
Published: (2025)

Conditional Gradient Methods with Standard LMO for Stochastic Simple Bilevel Optimization
by: Giang-Tran, Khanh-Hung, et al.
Published: (2025)

An Inexact Boosted Difference of Convex Algorithm for Nondifferentiable Functions
by: Ferreira, Orizon P., et al.
Published: (2024)

A Proximal Descent Method for Minimizing Weakly Convex Optimization
by: Liao, Feng-Yi, et al.
Published: (2025)

Subgradient Methods for Nonsmooth Convex Functions with Adversarial Errors
by: Gösgens, Martijn, et al.
Published: (2025)

On the Oracle Complexity of a Riemannian Inexact Augmented Lagrangian Method for Riemannian Nonsmooth Composite Problems
by: Xu, Meng, et al.
Published: (2024)

Smoothing Accelerated Proximal Gradient Method with Backtracking for Nonsmooth Multiobjective Optimization
by: Chengzhi, Huang
Published: (2025)

The Sample Complexity of Gradient Descent in Stochastic Convex Optimization
by: Livni, Roi
Published: (2024)