Image de couverture de livre

SAGE: A Set-based Adaptive Gradient Estimator

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Sabug Jr., Lorenzo, Ruiz, Fredy, Fagiano, Lorenzo
Format:	Preprint
Publié:	2025
Sujets:	Optimization and Control 03E75, 90C56
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

A linesearch-based derivative-free method for noisy black-box problems
par: De Santis, Alberto, et autres
Publié: (2025)

Randomized Solutions to Convex Programs with Multiple Chance Constraints
par: Schildbach, Georg, et autres
Publié: (2012)

CatMADS: Mesh Adaptive Direct Search for constrained blackbox optimization with categorical variables
par: Audet, Charles, et autres
Publié: (2025)

Direct-search methods for decentralized blackbox optimization
par: Bergou, El Houcine, et autres
Publié: (2025)

Worst case complexity bounds for linesearch-type derivative-free algorithms
par: Brilli, Andrea, et autres
Publié: (2023)

Derivative-free stochastic bilevel optimization for inverse problems
par: Staudigl, Mathias, et autres
Publié: (2024)

A derivative-free trust-region approach for Low Order-Value Optimization problems
par: Schwertner, Anderson E., et autres
Publié: (2025)

On Complexity of Model-Based Derivative-Free Methods
par: Chaudhry, Abraar, et autres
Publié: (2025)

Surrogate-based categorical neighborhoods for mixed-variable blackbox optimization
par: Audet, Charles, et autres
Publié: (2026)

Projection-based curve pattern search for black-box optimization over smooth convex sets
par: Jia, Xiaoxi, et autres
Publié: (2025)

A Non-Archimedean Interior Point Method for Solving Lexicographic Multi-Objective Quadratic Programming Problems
par: Fiaschi, Lorenzo, et autres
Publié: (2021)

Worst-case complexity analysis of derivative-free methods for multi-objective optimization
par: Liuzzi, Giampaolo, et autres
Publié: (2025)

Penalty decomposition derivative free method for the minimization of partially separable functions over a convex feasible set
par: Cecere, Francesco, et autres
Publié: (2025)

Depth-first directional search for nonconvex optimization
par: Zhang, Yuxuan, et autres
Publié: (2024)

Perpertual Coupled Simulated Annealing for Continuous Optimization
par: Gonçalves-e-Silva, Kayo, et autres
Publié: (2018)

Derivative-Free Bilevel Optimization with Inexact Lower-Level Solutions
par: Cesaroni, Edoardo, et autres
Publié: (2026)

A New Two-dimensional Model-based Subspace Method for Large-scale Unconstrained Derivative-free Optimization: 2D-MoSub
par: Xie, Pengcheng, et autres
Publié: (2023)

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

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

Optimization of Closed-Loop Shallow Geothermal Systems Using Analytical Models
par: Heinzel, Oliver, et autres
Publié: (2026)

Fidelity and interruption control for expensive constrained multi-fidelity blackbox optimization
par: Alarie, Stéphane, et autres
Publié: (2023)

Norm-induced Cuts: Outer Approximation for Lipschitzian Constraint Functions
par: Göß, Adrian, et autres
Publié: (2024)

Decentralized projected Riemannian stochastic recursive momentum method for nonconvex optimization
par: Deng, Kangkang, et autres
Publié: (2024)

A New Spectral Conjugate Subgradient Method with Application in Computed Tomography Image Reconstruction
par: Loreto, Milagros, et autres
Publié: (2023)

CLARSTA: A random subspace trust-region algorithm for convex-constrained derivative-free optimization
par: Chen, Yiwen, et autres
Publié: (2025)

Engagement Zones for a Turn Constrained Pursuer
par: Chapman, Thomas, et autres
Publié: (2025)

An interior point method for nonlinear constrained derivative-free optimization
par: Brilli, Andrea, et autres
Publié: (2021)

Analyzing the speed of convergence in nonsmooth optimization via the Goldstein subdifferential with application to descent methods
par: Gebken, Bennet
Publié: (2024)

$Q$-fully Quadratic Modeling and its Application in a Random Subspace Derivative-free Method
par: Chen, Yiwen, et autres
Publié: (2023)

BUP-TR: Bayesian Underdetermined Projection Trust-Region Methods for Derivative-Free Optimization
par: Hu, Wei, et autres
Publié: (2026)

MATRO: Metric-Aware Trust-Region Optimization with Fully Quadratic Models
par: Hu, Wei, et autres
Publié: (2026)

Nonlinear Derivative-free Constrained Optimization with a Penalty-Interior Point Method and Direct Search
par: Brilli, Andrea, et autres
Publié: (2024)

Using second-order information in gradient sampling methods for nonsmooth optimization
par: Gebken, Bennet
Publié: (2022)

PDFO: A Cross-Platform Package for Powell's Derivative-Free Optimization Solvers
par: Ragonneau, Tom M., et autres
Publié: (2023)

An Optimal Interpolation Set for Model-Based Derivative-Free Optimization Methods
par: Ragonneau, Tom M., et autres
Publié: (2023)

Uniform-in-time mean-field limit estimate for the Consensus-Based Optimization
par: Huang, Hui, et autres
Publié: (2024)

A Unified Zeroth-Order Proximal Newton-Type Framework for Composite Optimization
par: Liu, Zekun, et autres
Publié: (2026)

Computation of Generalized Derivatives for Abs-Smooth Functions by Backward Mode Algorithmic Differentiation and Implications to Deep Learning
par: Baumgärtner, Lukas, et autres
Publié: (2024)

Revisiting the Geometrically Decaying Step Size: Linear Convergence for Smooth or Non-Smooth Functions
par: Kim, Jihun
Publié: (2025)

Steering exact penalty DCA for nonsmooth DC optimization problems with equality and inequality constraints
par: Dolgopolik, M. V.
Publié: (2021)