Imagen de Portada

Privacy-Preserving Black-Box Optimization (PBBO): Theory and the Model-Based Algorithm DFOp

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autor principal:	Xie, Pengcheng
Formato:	Preprint
Publicado:	2025
Materias:	Cryptography and Security Numerical Analysis Optimization and Control 90C56, 90C30, 65K05, 90C90
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

A novel numerical method tailored for unconstrained optimization problems
por: Li, Lin, et al.
Publicado: (2025)

A New Two-dimensional Model-based Subspace Method for Large-scale Unconstrained Derivative-free Optimization: 2D-MoSub
por: Xie, Pengcheng, et al.
Publicado: (2023)

MATRO: Metric-Aware Trust-Region Optimization with Fully Quadratic Models
por: Hu, Wei, et al.
Publicado: (2026)

BUP-TR: Bayesian Underdetermined Projection Trust-Region Methods for Derivative-Free Optimization
por: Hu, Wei, et al.
Publicado: (2026)

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

Spectral conjugate gradient projection methods for large-scale monotone equations without Lipschitz continuity
por: Hamiss, Kabenge, et al.
Publicado: (2026)

Nonlinear Derivative-free Constrained Optimization with a Penalty-Interior Point Method and Direct Search
por: Brilli, Andrea, et al.
Publicado: (2024)

AS-BOX: Additional Sampling Method for Weighted Sum Problems with Box Constraints
por: Krejić, Nataša, et al.
Publicado: (2025)

Tight Error Bounds for the Sign-Constrained Stiefel Manifold
por: Chen, Xiaojun, et al.
Publicado: (2022)

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

An interior point method for nonlinear constrained derivative-free optimization
por: Brilli, Andrea, et al.
Publicado: (2021)

Stochastic momentum ADMM for nonconvex and nonsmooth optimization with application to PnP algorithm
por: Deng, Kangkang, et al.
Publicado: (2025)

Model-Driven Subspaces for Large-Scale Optimization with Local Approximation Strategy
por: He, Yitong, et al.
Publicado: (2025)

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

Delayed Feedback in Online Non-Convex Optimization: A Non-Stationary Approach with Applications
por: Lara, Felipe, et al.
Publicado: (2024)

Accelerated Gradient Methods with Gradient Restart: Global Linear Convergence
por: Bao, Chenglong, et al.
Publicado: (2024)

The Global R-linear Convergence of Nesterov's Accelerated Gradient Method with Unknown Strongly Convex Parameter
por: Bao, Chenglong, et al.
Publicado: (2023)

An Optimal Interpolation Set for Model-Based Derivative-Free Optimization Methods
por: Ragonneau, Tom M., et al.
Publicado: (2023)

Optimality Conditions and Numerical Algorithms for a Class of Minimax Bilevel Optimization Problems
por: Hu, Yaling, et al.
Publicado: (2026)

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

An Interior-Point Algorithm for Continuous Nonlinearly Constrained Optimization with Noisy Function and Derivative Evaluations
por: Curtis, Frank E., et al.
Publicado: (2025)

Extrapolated Plug-and-Play Three-Operator Splitting Methods for Nonconvex Optimization with Applications to Image Restoration
por: Wu, Zhongming, et al.
Publicado: (2024)

Globally Optimal Solutions to a Class of Fractional Optimization Problems Based on Proximal Gradient Algorithm
por: Lin, Yizun, et al.
Publicado: (2023)

Optimization in Theory and Practice
por: Wright, Stephen J.
Publicado: (2025)

$Q$-fully Quadratic Modeling and its Application in a Random Subspace Derivative-free Method
por: Chen, Yiwen, et al.
Publicado: (2023)

CLARSTA: A random subspace trust-region algorithm for convex-constrained derivative-free optimization
por: Chen, Yiwen, et al.
Publicado: (2025)

A first-order method for nonconvex-nonconcave minimax problems under a local Kurdyka-Lojasiewicz condition
por: Lu, Zhaosong, et al.
Publicado: (2025)

A first-order augmented Lagrangian method for constrained minimax optimization
por: Lu, Zhaosong, et al.
Publicado: (2023)

First-order penalty methods for bilevel optimization
por: Lu, Zhaosong, et al.
Publicado: (2023)

Solving bilevel optimization via sequential minimax optimization
por: Lu, Zhaosong, et al.
Publicado: (2025)

A first-order method for nonconvex-strongly-concave constrained minimax optimization
por: Lu, Zhaosong, et al.
Publicado: (2025)

Variance-reduced first-order methods for deterministically constrained stochastic nonconvex optimization with strong convergence guarantees
por: Lu, Zhaosong, et al.
Publicado: (2024)

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

Anderson Accelerated Primal-Dual Hybrid Gradient for solving LP
por: Zhou, Yingxin, et al.
Publicado: (2025)

Convergence-Guaranteed Algorithms for l1/2-Regularized Quadratic Programs with Assignment Constraints
por: Xie, Lijun, et al.
Publicado: (2025)

Local Convergence Analysis of ADMM for Nonconvex Composite Optimization
por: Xie, Xiyuan, et al.
Publicado: (2026)

A MINRES-based Linesearch Algorithm for Nonconvex Optimization with Non-positive Curvature Detection
por: Zeng, Hanfeng, et al.
Publicado: (2026)

A non-monotone trust-region method with noisy oracles and additional sampling
por: Krejic, Natasa, et al.
Publicado: (2023)

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

Variational Properties of Decomposable Functions. Part II: Strong Second-Order Theory
por: Ouyang, Wenqing, et al.
Publicado: (2023)