:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Liu, Yichuan, Li, Yingzhou
Format:	Preprint
Published:	2025
Subjects:	Optimization and Control
Online Access:	https://arxiv.org/abs/2506.21948
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

A Partially Derivative-Free Proximal Method for Composite Multiobjective Optimization in the Hölder Setting
by: Amaral, V. S., et al.
Published: (2025)

Derivative-Free Bound-Constrained Optimization for Solving Structured Problems with Surrogate Models
by: Curtis, Frank E., et al.
Published: (2022)

Partial Envelope for Optimization Problem with Nonconvex Constraints
by: Hu, Xiaoyin, et al.
Published: (2025)

Scalable Derivative-Free Optimization Algorithms with Low-Dimensional Subspace Techniques
by: Zhang, Zaikun
Published: (2025)

ReMU: Regional Minimal Updating for Model-Based Derivative-Free Optimization
by: Xie, Pengcheng, et al.
Published: (2025)

The Generalized Matrix Separation Problem: Algorithms
by: Chen, Xuemei, et al.
Published: (2025)

Projection-Free Algorithms for Minimax Problems
by: Giang-Tran, Khanh-Hung, et al.
Published: (2026)

Two-timescale Derivative Free Optimization for Performative Prediction with Markovian Data
by: Liu, Haitong, et al.
Published: (2023)

Model Construction for Convex-Constrained Derivative-Free Optimization
by: Roberts, Lindon
Published: (2024)

An Efficient Solution Method for Solving Convex Separable Quadratic Optimization Problems
by: Li, Shaoze, et al.
Published: (2025)

Stochastic Optimization Algorithms for Problems with Controllable Biased Oracles
by: Liu, Yin, et al.
Published: (2023)

An Online Algorithm for Solving Feedback Optimal Control Problems with Partial Observations
by: Liang, Siming, et al.
Published: (2024)

A Feasible Method for Constrained Derivative-Free Optimization
by: Xuan, Melody Qiming, et al.
Published: (2024)

Hessian-Free Distributed Bilevel Optimization via Penalization with Time-Scale Separation
by: Niu, Youcheng, et al.
Published: (2024)

Black-box Optimization Algorithms for Regularized Least-squares Problems
by: Liu, Yanjun, et al.
Published: (2024)

A Generalized Spiking Locally Competitive Algorithm for Multiple Optimization Problems
by: Du, Xuexing, et al.
Published: (2024)

Efficient Gradient Tracking Algorithms for Distributed Optimization Problems with Inexact Communication
by: Zhao, Shengchao, et al.
Published: (2025)

Scalable Acceleration for Classification-Based Derivative-Free Optimization
by: Han, Tianyi, et al.
Published: (2023)

Randomized Subspace Derivative-Free Optimization with Quadratic Models and Second-Order Convergence
by: Cartis, Coralia, et al.
Published: (2024)

Derivative-Free Optimization via Adaptive Sampling Strategies
by: Bollapragada, Raghu, et al.
Published: (2024)

First Order Algorithm on an Optimization Problem with Improved Convergence when Problem is Convex
by: Sim, Chee-Khian
Published: (2025)

A Distributed Gradient-based Algorithm for Optimization Problems with Coupled Equality Constraints
by: Qiu, Chenyang, et al.
Published: (2025)

Graph-Based Modeling and Decomposition of Hierarchical Optimization Problems
by: Cole, David L., et al.
Published: (2025)

A Communication-Efficient Distributed Optimization Algorithm for Problems with Coupling Constraints
by: Duan, Yuzhu, et al.
Published: (2025)

A Survey of Exact and Approximation Algorithms for Linear-Parametric Optimization Problems
by: Nemesch, Levin, et al.
Published: (2025)

The Error in Multivariate Linear Extrapolation with Applications to Derivative-Free Optimization
by: Cao, Liyuan, et al.
Published: (2023)

Adaptive Sampling-Based Bi-Fidelity Stochastic Trust Region Method for Derivative-Free Stochastic Optimization
by: Ha, Yunsoo, et al.
Published: (2024)

A Support-Set Algorithm for Optimization Problems with Nonnegative and Orthogonal Constraints
by: Wang, Lei, et al.
Published: (2025)

Adaptive Algorithms for Relatively Lipschitz Continuous Convex Optimization Problems
by: Stonyakin, Fedor, et al.
Published: (2021)

Learning to Solve Optimization Problems Constrained with Partial Differential Equations
by: Guven, Yusuf, et al.
Published: (2025)

Randomized coordinate gradient descent almost surely escapes strict saddle points
by: Chen, Ziang, et al.
Published: (2025)

A Derivative-Free Saddle-search Algorithm With Linear Convergence Rate
by: Du, Qiang, et al.
Published: (2026)

A Tutorial on Multi-time Scale Optimization Models and Algorithms
by: Ramanujam, Asha, et al.
Published: (2025)

A Parameter-Free Zeroth-Order Algorithm for Decentralized Stochastic Convex Optimization
by: Chen, Jiawei, et al.
Published: (2026)

Coordinate-Update Algorithms can Efficiently Detect Infeasible Optimization Problems
by: Paeng, Jinhee, et al.
Published: (2023)

Lipschitz-Free Mirror Descent Methods for Non-Smooth Optimization Problems
by: Yuan, Bowen, et al.
Published: (2025)

A Branch and Bound Algorithm for Multiobjective Optimization Problems Using General Ordering Cones
by: Wu, Weitian, et al.
Published: (2024)

A Smoothing Consensus-Based Optimization Algorithm for Nonsmooth Nonconvex Optimization
by: Wei, Jiazhen, et al.
Published: (2025)

Smoothing Iterative Consensus-based Optimization Algorithm for Nonsmooth Nonconvex Optimization Problems with Global Optimality
by: Wei, Jiazhen, et al.
Published: (2025)

Distributed Derivative-Free Optimization Using Inexact ADMM and Trust-Region Methods
by: Fasiku, Damilola, et al.
Published: (2025)