Scalable Derivative-Free Optimization Algorithms with Low-Dimensional Subspace Techniques
Fuente:
arXiv
Saved in:
| Main Author: | Zhang, Zaikun |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
PDFO: A Cross-Platform Package for Powell's Derivative-Free Optimization Solvers
by: Ragonneau, Tom M., et al.
Published: (2023)
by: Ragonneau, Tom M., et al.
Published: (2023)
An Optimal Interpolation Set for Model-Based Derivative-Free Optimization Methods
by: Ragonneau, Tom M., et al.
Published: (2023)
by: Ragonneau, Tom M., et al.
Published: (2023)
Non-convergence Analysis of Probabilistic Direct Search
by: Huang, Cunxin, et al.
Published: (2026)
by: Huang, Cunxin, et al.
Published: (2026)
Randomized Subspace Derivative-Free Optimization with Quadratic Models and Second-Order Convergence
by: Cartis, Coralia, et al.
Published: (2024)
by: Cartis, Coralia, et al.
Published: (2024)
A Noise-Aware Scalable Subspace Classical Optimizer for the Quantum Approximate Optimization Algorithm
by: Dzahini, Kwassi Joseph, et al.
Published: (2025)
by: Dzahini, Kwassi Joseph, et al.
Published: (2025)
A Graph-Partitioning Based Continuous Optimization Approach to Semi-supervised Clustering Problems
by: Liu, Wei, et al.
Published: (2025)
by: Liu, Wei, et al.
Published: (2025)
Scalable Second-Order Optimization Algorithms for Minimizing Low-rank Functions
by: Tansley, Edward, et al.
Published: (2025)
by: Tansley, Edward, et al.
Published: (2025)
A Model-Based Derivative-Free Optimization Algorithm for Partially Separable Problems
by: Liu, Yichuan, et al.
Published: (2025)
by: Liu, Yichuan, et al.
Published: (2025)
Full-Low Evaluation Methods For Bound and Linearly Constrained Derivative-Free Optimization
by: Royer, Clément W., et al.
Published: (2023)
by: Royer, Clément W., et al.
Published: (2023)
Curvature-Adaptive Perturbation and Subspace Descent for Robust Saddle Point Escape in High-Dimensional Optimization
by: Katende, Ronald, et al.
Published: (2024)
by: Katende, Ronald, et al.
Published: (2024)
Scalable Acceleration for Classification-Based Derivative-Free Optimization
by: Han, Tianyi, et al.
Published: (2023)
by: Han, Tianyi, et al.
Published: (2023)
Zeroth-Order Katyusha: An Accelerated Derivative-Free Method for Composite Convex Optimization
by: Zhang, Silan, et al.
Published: (2024)
by: Zhang, Silan, et al.
Published: (2024)
A Feasible Method for Constrained Derivative-Free Optimization
by: Xuan, Melody Qiming, et al.
Published: (2024)
by: Xuan, Melody Qiming, et al.
Published: (2024)
Derivative-Free Optimization via Adaptive Sampling Strategies
by: Bollapragada, Raghu, et al.
Published: (2024)
by: Bollapragada, Raghu, et al.
Published: (2024)
Model Construction for Convex-Constrained Derivative-Free Optimization
by: Roberts, Lindon
Published: (2024)
by: Roberts, Lindon
Published: (2024)
Random-Subspace Sequential Quadratic Programming for Constrained Zeroth-Order Optimization
by: Zhang, Runyu, et al.
Published: (2026)
by: Zhang, Runyu, et al.
Published: (2026)
Augmenting Subspace Optimization Methods with Linear Bandits
by: Menickelly, Matt
Published: (2024)
by: Menickelly, Matt
Published: (2024)
On the Relationship between $Λ$-poisedness in Derivative-Free Optimization and Outliers in Local Outlier Factor
by: Zhang, Qi, et al.
Published: (2024)
by: Zhang, Qi, et al.
Published: (2024)
Min-Max Grassmannian Optimization for Online Subspace Tracking
by: Bharadwaj, Shreyas, et al.
Published: (2026)
by: Bharadwaj, Shreyas, et al.
Published: (2026)
The Error in Multivariate Linear Extrapolation with Applications to Derivative-Free Optimization
by: Cao, Liyuan, et al.
Published: (2023)
by: Cao, Liyuan, et al.
Published: (2023)
Parameter-Efficient Subspace Optimization for LLM Fine-Tuning
by: Lou, Yuchen, et al.
Published: (2025)
by: Lou, Yuchen, et al.
Published: (2025)
Scalable Projection-Free Optimization Methods via MultiRadial Duality Theory
by: Samakhoana, Thabo, et al.
Published: (2024)
by: Samakhoana, Thabo, et al.
Published: (2024)
Two-timescale Derivative Free Optimization for Performative Prediction with Markovian Data
by: Liu, Haitong, et al.
Published: (2023)
by: Liu, Haitong, et al.
Published: (2023)
A Derivative-Free Saddle-search Algorithm With Linear Convergence Rate
by: Du, Qiang, et al.
Published: (2026)
by: Du, Qiang, et al.
Published: (2026)
On Some Versions of Subspace Optimization Methods with Inexact Gradient Information
by: Kuruzov, Ilya, et al.
Published: (2024)
by: Kuruzov, Ilya, et al.
Published: (2024)
Distributed Derivative-Free Optimization Using Inexact ADMM and Trust-Region Methods
by: Fasiku, Damilola, et al.
Published: (2025)
by: Fasiku, Damilola, et al.
Published: (2025)
ReMU: Regional Minimal Updating for Model-Based Derivative-Free Optimization
by: Xie, Pengcheng, et al.
Published: (2025)
by: Xie, Pengcheng, et al.
Published: (2025)
Derivative-Free Bound-Constrained Optimization for Solving Structured Problems with Surrogate Models
by: Curtis, Frank E., et al.
Published: (2022)
by: Curtis, Frank E., et al.
Published: (2022)
A Partially Derivative-Free Proximal Method for Composite Multiobjective Optimization in the Hölder Setting
by: Amaral, V. S., et al.
Published: (2025)
by: Amaral, V. S., et al.
Published: (2025)
A Discretization Approach for Bilevel Optimization with Low-Dimensional and Non-Convex Lower-Level
by: Jiang, Xiaotian, et al.
Published: (2025)
by: Jiang, Xiaotian, et al.
Published: (2025)
A Parameter-Free Zeroth-Order Algorithm for Decentralized Stochastic Convex Optimization
by: Chen, Jiawei, et al.
Published: (2026)
by: Chen, Jiawei, et al.
Published: (2026)
Low-Rank Extragradient Methods for Scalable Semidefinite Optimization
by: Garber, Dan, et al.
Published: (2024)
by: Garber, Dan, et al.
Published: (2024)
Random Gradient-Free Optimization in Infinite Dimensional Spaces
by: Peixoto, Caio Lins, et al.
Published: (2025)
by: Peixoto, Caio Lins, et al.
Published: (2025)
Comparison of High-Dimensional Bayesian Optimization Algorithms on BBOB
by: Santoni, Maria Laura, et al.
Published: (2023)
by: Santoni, Maria Laura, et al.
Published: (2023)
Superlinear Optimization Algorithms
by: Wang, Hongxia, et al.
Published: (2024)
by: Wang, Hongxia, et al.
Published: (2024)
Subspace Newton's Method for $\ell_0$-Regularized Optimization Problems with Box Constraint
by: Ye, Yuge, et al.
Published: (2025)
by: Ye, Yuge, et al.
Published: (2025)
Nonlinear Dimensionality Reduction Techniques for Bayesian Optimization
by: Long, Luo, et al.
Published: (2025)
by: Long, Luo, et al.
Published: (2025)
Scalable DC Optimization via Adaptive Frank-Wolfe Algorithms
by: Pokutta, Sebastian
Published: (2025)
by: Pokutta, Sebastian
Published: (2025)
Complexity Analysis of the Regular Simplicial Search Method with Reflection and Shrinking Steps for Derivative-Free Optimization
by: Cao, Liyuan, et al.
Published: (2025)
by: Cao, Liyuan, et al.
Published: (2025)
A Parameter-Free and Near-Optimal Zeroth-Order Algorithm for Stochastic Convex Optimization
by: Ren, Kunjie, et al.
Published: (2025)
by: Ren, Kunjie, et al.
Published: (2025)
Similar Items
-
PDFO: A Cross-Platform Package for Powell's Derivative-Free Optimization Solvers
by: Ragonneau, Tom M., et al.
Published: (2023) -
An Optimal Interpolation Set for Model-Based Derivative-Free Optimization Methods
by: Ragonneau, Tom M., et al.
Published: (2023) -
Non-convergence Analysis of Probabilistic Direct Search
by: Huang, Cunxin, et al.
Published: (2026) -
Randomized Subspace Derivative-Free Optimization with Quadratic Models and Second-Order Convergence
by: Cartis, Coralia, et al.
Published: (2024) -
A Noise-Aware Scalable Subspace Classical Optimizer for the Quantum Approximate Optimization Algorithm
by: Dzahini, Kwassi Joseph, et al.
Published: (2025)