:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Hu, Yukuan, Yin, Junlei, Gao, Xingyu, Liu, Xin, Song, Haifeng
Format:	Preprint
Published:	2024
Subjects:	Computational Physics Materials Science Optimization and Control
Online Access:	https://arxiv.org/abs/2405.02934
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Learning complexity of gradient descent and conjugate gradient algorithms
by: Jiao, Xianqi, et al.
Published: (2024)

The duality structure gradient descent algorithm: analysis and applications to neural networks
by: Flynn, Thomas
Published: (2017)

Adaptive control mechanisms in gradient descent algorithms
by: Iannelli, Andrea
Published: (2025)

A relax-fix-and-exclude algorithm for an MINLP problem with multilinear interpolations
by: Pacheco, Bruno Machado, et al.
Published: (2025)

A stochastic gradient descent algorithm with random search directions
by: Gbaguidi, Eméric
Published: (2025)

Implicit regularization of normalized gradient descent
by: Josz, Cédric
Published: (2026)

Constrained dynamics for searching saddle points on general Riemannian manifolds
by: Hu, Yukuan, et al.
Published: (2026)

Extended alternating structure-adapted proximal gradient algorithm for nonconvex nonsmooth problems
by: Gao, Ying, et al.
Published: (2024)

Reachability of gradient descent
by: Josz, Cédric, et al.
Published: (2025)

Projected proximal gradient trust-region algorithm for nonsmooth optimization
by: Dao, Minh N., et al.
Published: (2025)

Non-smooth stochastic gradient descent using smoothing functions
by: Giovannelli, Tommaso, et al.
Published: (2025)

Convergence of stochastic gradient descent under a local Lojasiewicz condition for deep neural networks
by: An, Jing, et al.
Published: (2023)

New logarithmic step size for stochastic gradient descent
by: Shamaee, M. Soheil, et al.
Published: (2024)

On the convergence analysis of the decentralized projected gradient descent method
by: Choi, Woocheol, et al.
Published: (2023)

Projected gradient descent accumulates at Bouligand stationary points
by: Olikier, Guillaume, et al.
Published: (2024)

Riemannian coordinate descent algorithms on matrix manifolds
by: Han, Andi, et al.
Published: (2024)

Nonconvex optimization and convergence of stochastic gradient descent, and solution of asynchronous game
by: Buck, Kevin, et al.
Published: (2025)

Gradient extremals, talwegs, valleys, and directional alignment for generic gradient descent
by: Bégout, Pascal, et al.
Published: (2026)

A two-stage search framework for constrained multi-gradient descent
by: Lei, Yuan-Zheng, et al.
Published: (2025)

Global convergence of gradient descent for phase retrieval
by: Fougereux, Théodore, et al.
Published: (2024)

An overview of the fractional-order gradient descent method and its applications
by: Ferreira, Higor V. M., et al.
Published: (2026)

A nonmonotone extrapolated proximal gradient-subgradient algorithm beyond global Lipschitz gradient continuity
by: Yang, Lei, et al.
Published: (2025)

A global Barzilai and Borwein's gradient normalization descent method for multiobjective optimization
by: Yang, Yingxue
Published: (2024)

Proximal gradient descent on the smoothed duality gap to solve saddle point problems
by: Fercoq, Olivier
Published: (2025)

A short proof of near-linear convergence of adaptive gradient descent under fourth-order growth and convexity
by: Davis, Damek, et al.
Published: (2026)

Introduction: Swarm-based gradient descent for non convex optimization
by: Tikko, Janina
Published: (2024)

On the global convergence of gradient descent for wide shallow models with bounded nonlinearities
by: Petit, Romain, et al.
Published: (2026)

Worst-case convergence analysis of relatively inexact gradient descent on smooth convex functions
by: Vernimmen, Pierre, et al.
Published: (2025)

Coordinate projected gradient descent minimization and its application to orthogonal nonnegative matrix factorization
by: Chorobura, Flavia, et al.
Published: (2025)

Long-time dynamics and universality of nonconvex gradient descent
by: Han, Qiyang
Published: (2025)

A perturbed preconditioned gradient descent method for the unconstrained minimization of composite objectives
by: Park, Jea-Hyun, et al.
Published: (2025)

On the stability of gradient descent with second order dynamics for time-varying cost functions
by: Gibson, Travis E., et al.
Published: (2024)

Convergence of continuous-time stochastic gradient descent with applications to deep neural networks
by: Lugosi, Gabor, et al.
Published: (2024)

Non-ergodic linear convergence property of the delayed gradient descent under the strongly convexity and the Polyak-Łojasiewicz condition
by: Choi, Hyung Jun, et al.
Published: (2023)

Proximal gradient-type method with generalized distance and convergence analysis without global descent lemma
by: Yagishita, Shotaro, et al.
Published: (2025)

A consensus-based optimization method for nonsmooth nonconvex programs with approximated gradient descent scheme
by: Wei, Jiazhen, et al.
Published: (2025)

Alternatives with stronger convergence than coordinate-descent iterative LMI algorithms
by: Simon, Emile, et al.
Published: (2011)

Research on the descent direction of prediction correction algorithms for pseudo-convex/convex optimization problems
by: Li, Ting, et al.
Published: (2025)

When majority rules, minority loses: bias amplification of gradient descent
by: Bachoc, François, et al.
Published: (2025)

Error dynamics of mini-batch gradient descent with random reshuffling for least squares regression
by: Lok, Jackie, et al.
Published: (2024)