Copertina

Heavy Ball Momentum for Non-Strongly Convex Optimization

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Aujol, Jean-François, Dossal, Charles, Labarrière, Hippolyte, Rondepierre, Aude
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Optimization and Control 46N10, 65K10, 90C25, 90C30
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Splitting the Conditional Gradient Algorithm
di: Woodstock, Zev, et al.
Pubblicazione: (2023)

Adaptive Inertial Method
di: Long, Han, et al.
Pubblicazione: (2025)

Efficient parameter-free restarted accelerated gradient methods for convex and strongly convex optimization
di: Sujanani, Arnesh, et al.
Pubblicazione: (2024)

Auto-tuned Primal-dual Successive Convexification for Hypersonic Reentry Guidance
di: Mceowen, Skye, et al.
Pubblicazione: (2024)

Nonsmooth Projection-Free Optimization with Functional Constraints
di: Asgari, Kamiar, et al.
Pubblicazione: (2023)

cuHALLaR: A GPU Accelerated Low-Rank Augmented Lagrangian Method for Large-Scale Semidefinite Programming
di: Aguirre, Jacob M., et al.
Pubblicazione: (2025)

On the convergence of an inertial proximal algorithm with a Tikhonov regularization term
di: László, Szilárd Csaba
Pubblicazione: (2023)

Strong Convergence of Relaxed Inertial Inexact Progressive Hedging Algorithm for Multi-stage Stochastic Variational Inequality Problems
di: Chen, Jiaxin, et al.
Pubblicazione: (2024)

A Busemann hybrid projection-proximal point algorithm for optimization problems on Hadamard manifolds
di: Millán, R. Díaz, et al.
Pubblicazione: (2026)

Stochastic Krasnoselskii-Mann Iterations: Convergence without Uniformly Bounded Variance
di: Cortild, Daniel, et al.
Pubblicazione: (2026)

Strong Global Convergence of the Consensus-Based Optimization Algorithm
di: Bonandin, Sabrina, et al.
Pubblicazione: (2025)

Inexact Riemannian Gradient Descent Method for Nonconvex Optimization
di: Zhou, Juan, et al.
Pubblicazione: (2024)

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

Parameter-Free Accelerated Quasi-Newton Method for Nonconvex Optimization
di: Marumo, Naoki
Pubblicazione: (2025)

Binno: A 1st-order method for Bi-level Nonconvex Nonsmooth Optimization for Matrix Factorizations
di: Selicato, Laura, et al.
Pubblicazione: (2025)

A low-rank augmented Lagrangian method for large-scale semidefinite programming based on a hybrid convex-nonconvex approach
di: Monteiro, Renato D. C., et al.
Pubblicazione: (2024)

Relaxed Weak Accelerated Proximal Gradient Method: a Unified Framework for Nesterov's Accelerations
di: Li, Hongda, et al.
Pubblicazione: (2025)

A Unified Zeroth-Order Proximal Newton-Type Framework for Composite Optimization
di: Liu, Zekun, et al.
Pubblicazione: (2026)

Preconditioned Proximal Gradient Methods with Conjugate Momentum: A Subspace Perspective
di: Chen, Jian, et al.
Pubblicazione: (2026)

Solving nonconvex optimization problems via a second order dynamical system with unbounded damping
di: László, Szilárd Csaba
Pubblicazione: (2025)

A Bregman ADMM for Bethe variational problem
di: Khoo, Yuehaw, et al.
Pubblicazione: (2025)

Monomial barrier functions for the box-constrained convex optimization problems
di: Fayed, Hatem
Pubblicazione: (2024)

Convergence, Duality and Well-Posedness in Convex Bilevel Optimization
di: Giang-Tran, Khanh-Hung, et al.
Pubblicazione: (2025)

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

Stochastic optimization over proximally smooth sets
di: Davis, Damek, et al.
Pubblicazione: (2020)

Sublinear Scalarizations for Proper and Approximate Proper Efficient Points in Nonconvex Vector Optimization
di: García-Castaño, Fernando, et al.
Pubblicazione: (2024)

Augmented Lagrangian methods for fully convex composite optimization
di: De Marchi, Alberto, et al.
Pubblicazione: (2025)

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

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

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

Oracle complexities of augmented Lagrangian methods for nonsmooth manifold optimization
di: Deng, Kangkang, et al.
Pubblicazione: (2024)

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

Krasnoselskii-Mann Iterations: Inertia, Perturbations and Approximation
di: Cortild, Daniel, et al.
Pubblicazione: (2024)

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

Lossless Convexification for Linear Systems with Piecewise Linear Controls
di: Kiami, Shosuke
Pubblicazione: (2024)

Nonlinear conjugate gradient for smooth convex functions
di: Karimi, Sahar, et al.
Pubblicazione: (2021)

ASPEN: An Additional Sampling Penalty Method for Finite-Sum Optimization Problems with Nonlinear Equality Constraints
di: Krejić, Nataša, et al.
Pubblicazione: (2025)

Optimization in Theory and Practice
di: Wright, Stephen J.
Pubblicazione: (2025)

A globalization of L-BFGS and the Barzilai-Borwein method for nonconvex unconstrained optimization
di: Mannel, Florian
Pubblicazione: (2024)

Fast projection onto the top-k-sum constraint
di: Pan, Jianting, et al.
Pubblicazione: (2025)