Cover Image

Stochastic Inertial Dynamics Via Time Scaling and Averaging

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Maulen-Soto, Rodrigo, Fadili, Jalal, Attouch, Hedy, Ochs, Peter
Format:	Preprint
Published:	2024
Subjects:	Optimization and Control 37N40, 46N10, 49M99, 65B99, 65K05, 65K10, 90B50, 90C25, 60H10, 49J52, 90C53
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

An SDE Perspective on Stochastic Inertial Gradient Dynamics with Time-Dependent Viscosity and Geometric Damping
by: Maulen-Soto, Rodrigo, et al.
Published: (2024)

Tikhonov Regularization for Stochastic Non-Smooth Convex Optimization in Hilbert Spaces
by: Maulen-Soto, Rodrigo, et al.
Published: (2024)

Inertial Methods with Viscous and Hessian driven Damping for Non-Convex Optimization
by: Maulen-Soto, Rodrigo, et al.
Published: (2024)

Fast convex optimization via closed-loop time scaling of gradient dynamics
by: Attouch, Hedy, et al.
Published: (2023)

Continuous Newton-like Methods featuring Inertia and Variable Mass
by: Castera, Camille, et al.
Published: (2023)

Robust optimality and duality for composite uncertain multiobjective optimization in Asplund spaces with its applications
by: Saadati, Maryam, et al.
Published: (2022)

Asymptotic behaviour of coupled random dynamical systems with multiscale aspects
by: Luke, D. Russell, et al.
Published: (2026)

A Symplectic Discretization Based Proximal Point Algorithm for Convex Minimization
by: Yuan, Ya-xiang, et al.
Published: (2024)

Introducing the Kernel Descent Optimizer for Variational Quantum Algorithms
by: Simon, Lars, et al.
Published: (2024)

Strong convergence and fast rates for systems with Tikhonov regularization
by: Csetnek, Ernö Robert, et al.
Published: (2024)

Resolvent Moreau identities without monotonicity: theory and applications to Gabay duality, Douglas--Rachford and ADMM
by: Calcan, Andrew, et al.
Published: (2026)

Accelerating Diagonal Methods for Bilevel Optimization: Unified Convergence via Continuous-Time Dynamics
by: Boţ, Radu Ioan, et al.
Published: (2025)

The superiorization method with restarted perturbations for split minimization problems with an application to radiotherapy treatment planning
by: Aragón-Artacho, Francisco J., et al.
Published: (2022)

An inertial proximal splitting algorithm for hierarchical bilevel equilibria in Hilbert spaces
by: Balhag, Aicha, et al.
Published: (2025)

An interior-point trust-region method for nonsmooth regularized bound-constrained optimization
by: Leconte, Geoffroy, et al.
Published: (2024)

A Tunneling Method for Nonlinear Multi-objective Optimization Problems
by: Adhikary, Bikram, et al.
Published: (2024)

Global Descent Method for Non-convex Multi-objective Optimization Problems
by: Adhikary, Bikram, et al.
Published: (2025)

Truncated Huber Penalty for Sparse Signal Recovery with Convergence Analysis
by: Yang, Li, et al.
Published: (2025)

Generalized Steepest Descent Methods on Riemannian Manifolds and Hilbert Spaces: Convergence Analysis and Stochastic Extensions
by: A., Rashid, et al.
Published: (2025)

Heavy-ball dynamics with Hessian-driven damping for non-convex optimization under the Łojasiewicz condition
by: Apidopoulos, Vassilis, et al.
Published: (2025)

Local properties and augmented Lagrangians in fully nonconvex composite optimization
by: De Marchi, Alberto, et al.
Published: (2023)

On existence of solutions to non-convex minimization problems
by: Rele, Rohan, et al.
Published: (2024)

Smoothness of Subgradient Mappings and Its Applications in Parametric Optimization
by: Hang, Nguyen T. V., et al.
Published: (2023)

Shadow splitting methods for nonconvex optimisation: epi-approximation, convergence and saddle point avoidance
by: Atenas, Felipe
Published: (2025)

Understanding the Douglas-Rachford splitting method through the lenses of Moreau-type envelopes
by: Atenas, Felipe
Published: (2023)

A double iteratively reweighted algorithm for solving group sparse nonconvex optimization models
by: Nie, Wanqin, et al.
Published: (2025)

A relaxed version of Ryu's three-operator splitting method for structured nonconvex optimization
by: Alcantara, Jan Harold, et al.
Published: (2025)

Identification of Active Subfunctions in Finite-Max Minimisation via a Smooth Reformulation
by: Ras, Charl, et al.
Published: (2024)

Stability of Nonhomogeneous Split Equality and Split Feasibility Problems with Possibly Nonconvex Constraint Sets
by: Huong, Vu Thi, et al.
Published: (2024)

Stability analysis of split equality and split feasibility problems
by: Huong, Vu Thi, et al.
Published: (2024)

Variational analysis of determinantal varieties
by: Yang, Yan, et al.
Published: (2025)

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

MGProx: A nonsmooth multigrid proximal gradient method with adaptive restriction for strongly convex optimization
by: Ang, Andersen, et al.
Published: (2023)

Heavy Ball Momentum for Non-Strongly Convex Optimization
by: Aujol, Jean-François, et al.
Published: (2024)

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

Subgradient Regularization: A Descent-Oriented Subgradient Method for Nonsmooth Optimization
by: Li, Hanyang, et al.
Published: (2025)

A fresh look into variational analysis of $\mathcal C^2$-partly smooth functions
by: Hang, Nguyen T. V., et al.
Published: (2024)

Moreau envelope and proximal-point methods under the lens of high-order regularization
by: Kabgani, Alireza, et al.
Published: (2025)

Optimization landscape of $\ell_0$-Bregman relaxations
by: Chirinos-Rodríguez, Jonathan, et al.
Published: (2025)

Splitting the Conditional Gradient Algorithm
by: Woodstock, Zev, et al.
Published: (2023)