:: Library Catalog

Image de couverture de livre

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Naldi, Emanuele, Labarrière, Hippolyte, Molinari, Cesare, Villa, Silvia
Format:	Preprint
Publié:	2026
Sujets:	Optimization and Control
Accès en ligne:	https://arxiv.org/abs/2605.11929
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

SGD for Variational Inference: Tackling Unbounded Variance via Preconditioning and Dynamic Batching
par: Labarrière, Hippolyte, et autres
Publié: (2026)

Optimization Insights into Deep Diagonal Linear Networks
par: Labarrière, Hippolyte, et autres
Publié: (2024)

Inexact JKO and proximal-gradient algorithms in the Wasserstein space
par: Di Marino, Simone, et autres
Publié: (2025)

Strong Convergence of FISTA Iterates under H{ö}lderian and Quadratic Growth Conditions
par: Aujol, Jean-François, et autres
Publié: (2024)

Stochastic Zeroth order Descent with Structured Directions
par: Rando, Marco, et autres
Publié: (2022)

Variance reduction techniques for stochastic proximal point algorithms
par: Traoré, Cheik, et autres
Publié: (2023)

Model Consistency of the Iterative Regularization of Dual Ascent for Low-Complexity Regularization
par: Gao, Jie, et autres
Publié: (2025)

A general framework for inexact splitting algorithms with relative errors and applications to Chambolle-Pock and Davis-Yin methods
par: Alves, M. Marques, et autres
Publié: (2024)

A simple and improved algorithm for noisy, convex, zeroth-order optimisation
par: Carpentier, Alexandra
Publié: (2024)

Convergence analysis for a variant of manifold proximal point algorithm based on Kurdyka-Łojasiewicz property
par: Yu, Peiran, et autres
Publié: (2025)

Heavy Ball Momentum for Non-Strongly Convex Optimization
par: Aujol, Jean-François, et autres
Publié: (2024)

Subdifferentially polynomially bounded functions and Gaussian smoothing-based zeroth-order optimization
par: Lei, Ming, et autres
Publié: (2024)

On the proximal point algorithm for strongly quasiconvex functions in Hadamard spaces
par: Pischke, Nicholas
Publié: (2024)

The Influence of an Adjoint Mismatch on the Primal-Dual Douglas-Rachford Method
par: Naldi, Emanuele, et autres
Publié: (2025)

Preconditioned primal-dual dynamics in convex optimization: non-ergodic convergence rates
par: Apidopoulos, Vassilis, et autres
Publié: (2025)

Efficient algorithms for implementing incremental proximal-point methods
par: Shtoff, Alex
Publié: (2022)

Direct search for stochastic optimization in random subspaces with zeroth-, first-, and second-order convergence and expected complexity
par: Dzahini, K. J., et autres
Publié: (2024)

A Structured Proximal Stochastic Variance Reduced Zeroth-order Algorithm
par: Rando, Marco, et autres
Publié: (2025)

A relaxed proximal point algorithm with double-inertial effects for nonconvex equilibrium problems
par: Van Tran, Nam
Publié: (2025)

The latent variable proximal point algorithm for variational problems with inequality constraints
par: Dokken, Jørgen S., et autres
Publié: (2025)

On the irreducibility and convergence of a class of nonsmooth nonlinear state-space models on manifolds and their applications to zeroth-order optimization
par: Gissler, Armand, et autres
Publié: (2024)

A Structured Tour of Optimization with Finite Differences
par: Rando, Marco, et autres
Publié: (2025)

Proximal basin hopping: global optimization with guarantees
par: Lauga, Guillaume, et autres
Publié: (2026)

Convergence analysis of stochastic higher-order majorization-minimization algorithms
par: Lupu, Daniela, et autres
Publié: (2021)

A strongly convergent inertial inexact proximal-point algorithm for monotone inclusions with applications to variational inequalities
par: Alves, M. Marques, et autres
Publié: (2024)

Delay-tolerant distributed Bregman proximal algorithms
par: Chraibi, S., et autres
Publié: (2024)

Augmented Lagrangian methods for infeasible convex optimization problems and diverging proximal-point algorithms
par: Andrews, Roland, et autres
Publié: (2025)

Projected proximal gradient trust-region algorithm for nonsmooth optimization
par: Dao, Minh N., et autres
Publié: (2025)

Mean-square and linear convergence of a stochastic proximal point algorithm in metric spaces of nonpositive curvature
par: Pischke, Nicholas
Publié: (2025)

Weak convergence of the stochastic proximal point method in metric spaces
par: Pischke, Nicholas
Publié: (2026)

A proximal subgradient algorithm for constrained multiobjective DC-type optimization
par: Van Tuyen, Nguyen, et autres
Publié: (2025)

Extended alternating structure-adapted proximal gradient algorithm for nonconvex nonsmooth problems
par: Gao, Ying, et autres
Publié: (2024)

Convergence of projected stochastic approximation algorithm
par: Borowski, Michał, et autres
Publié: (2025)

On Learning the Optimal Regularization Parameter in Inverse Problems
par: Rodriguez, Jonathan Chirinos, et autres
Publié: (2023)

An equivalent reformulation and multi-proximity gradient algorithms for a class of nonsmooth fractional programming
par: Zhou, Junpeng, et autres
Publié: (2023)

Approximate Bregman proximal gradient algorithm with variable metric Armijo--Wolfe line search
par: Fujiki, Kiwamu, et autres
Publié: (2025)

First-order algorithms for robust optimization problems via convex-concave saddle-point Lagrangian reformulation
par: Postek, Krzysztof, et autres
Publié: (2021)

An inexact $q$-order regularized proximal Newton method for nonconvex composite optimization
par: Liu, Ruyu, et autres
Publié: (2023)

Convergence result for the gradient-push algorithm and its application to boost up the Push-DIging algorithm
par: Choi, Hyogi, et autres
Publié: (2024)

An accelerated proximal PRS-SQP algorithm with dual ascent-descent procedures for smooth composite optimization
par: Jin, Jiachen, et autres
Publié: (2025)