Adaptive Regularization within Trust Region Methods for Stochastic Nonconvex Optimization
Fuente:
arXiv
Saved in:
| Main Authors: | Ha, Yunsoo, Shashaani, Sara, Tran-dinh, Quoc |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Iteration Complexity and Finite-Time Efficiency of Adaptive Sampling Trust-Region Methods for Stochastic Derivative-Free Optimization
by: Ha, Yunsoo, et al.
Published: (2023)
by: Ha, Yunsoo, et al.
Published: (2023)
Complexity of Zeroth- and First-order Stochastic Trust-Region Algorithms
by: Ha, Yunsoo, et al.
Published: (2024)
by: Ha, Yunsoo, et al.
Published: (2024)
Adaptive Sampling-Based Bi-Fidelity Stochastic Trust Region Method for Derivative-Free Stochastic Optimization
by: Ha, Yunsoo, et al.
Published: (2024)
by: Ha, Yunsoo, et al.
Published: (2024)
Multi-Fidelity Stochastic Trust Region Method with Adaptive Sampling
by: Ha, Yunsoo, et al.
Published: (2025)
by: Ha, Yunsoo, et al.
Published: (2025)
Two-Stage Estimation and Variance Modeling for Latency-Constrained Variational Quantum Algorithms
by: Ha, Yunsoo, et al.
Published: (2024)
by: Ha, Yunsoo, et al.
Published: (2024)
Trust Region Methods For Nonconvex Stochastic Optimization Beyond Lipschitz Smoothness
by: Xie, Chenghan, et al.
Published: (2023)
by: Xie, Chenghan, et al.
Published: (2023)
Shuffling Gradient-Based Methods for Nonconvex-Concave Minimax Optimization
by: Tran-Dinh, Quoc, et al.
Published: (2024)
by: Tran-Dinh, Quoc, et al.
Published: (2024)
Complexity of Linearized Perturbed Augmented Lagrangian Methods for Nonsmooth Nonconvex Optimization with Nonlinear Equality Constraints
by: Bourkhissi, Lahcen El, et al.
Published: (2025)
by: Bourkhissi, Lahcen El, et al.
Published: (2025)
Beyond Nonconvexity: A Universal Trust-Region Method with New Analyses
by: Jiang, Yuntian, et al.
Published: (2023)
by: Jiang, Yuntian, et al.
Published: (2023)
A Steepest Gradient Method with Nonmonotone Adaptive Step-sizes for the Nonconvex Minimax and Multi-Objective Optimization Problems
by: Anh, Nguyen Duc, et al.
Published: (2025)
by: Anh, Nguyen Duc, et al.
Published: (2025)
Stochastic Bregman Subgradient Methods for Nonsmooth Nonconvex Optimization Problems
by: Ding, Kuangyu, et al.
Published: (2024)
by: Ding, Kuangyu, et al.
Published: (2024)
TRSVR: An Adaptive Stochastic Trust-Region Method with Variance Reduction
by: Fang, Yuchen, et al.
Published: (2026)
by: Fang, Yuchen, et al.
Published: (2026)
Methods of Nonconvex Optimization
by: Mikhalevich, V. S., et al.
Published: (2024)
by: Mikhalevich, V. S., et al.
Published: (2024)
A Simple Adaptive Proximal Gradient Method for Nonconvex Optimization
by: Ye, Zilong, et al.
Published: (2025)
by: Ye, Zilong, et al.
Published: (2025)
On the Convergence of Adaptive Gradient Methods for Nonconvex Optimization
by: Zhou, Dongruo, et al.
Published: (2018)
by: Zhou, Dongruo, et al.
Published: (2018)
Negative Curvature Methods with High-Probability Complexity Guarantees for Stochastic Nonconvex Optimization
by: Berahas, Albert S., et al.
Published: (2026)
by: Berahas, Albert S., et al.
Published: (2026)
Zeroth-order Gradient and Quasi-Newton Methods for Nonsmooth Nonconvex Stochastic Optimization
by: Marrinan, Luke, et al.
Published: (2023)
by: Marrinan, Luke, et al.
Published: (2023)
Zeroth-Order Federated Methods for Stochastic MPECs and Nondifferentiable Nonconvex Hierarchical Optimization
by: Qiu, Yuyang, et al.
Published: (2023)
by: Qiu, Yuyang, et al.
Published: (2023)
Trust-Region Stochastic Optimization with Variance Reduction Technique
by: Zheng, Xinshou
Published: (2024)
by: Zheng, Xinshou
Published: (2024)
An Adaptive Proximal Point Method for Nonsmooth and Nonconvex Optimization on Hadamard Manifolds
by: Amaral, Vitaliano S., et al.
Published: (2025)
by: Amaral, Vitaliano S., et al.
Published: (2025)
Stochastic Push-Pull for Decentralized Nonconvex Optimization
by: You, Runze, et al.
Published: (2025)
by: You, Runze, et al.
Published: (2025)
Adaptive Lipschitz-Free Conditional Gradient Methods for Stochastic Composite Nonconvex Optimization
by: Yuan, Ganzhao
Published: (2026)
by: Yuan, Ganzhao
Published: (2026)
A Trust Region Method with Regularized Barzilai-Borwein Step-Size for Large-Scale Unconstrained Optimization
by: Xu, Xin, et al.
Published: (2024)
by: Xu, Xin, et al.
Published: (2024)
Zeroth-Order Methods for Stochastic Nonconvex Nonsmooth Composite Optimization
by: Chen, Ziyi, et al.
Published: (2025)
by: Chen, Ziyi, et al.
Published: (2025)
Compressed Decentralized Momentum Stochastic Gradient Methods for Nonconvex Optimization
by: Liu, Wei, et al.
Published: (2025)
by: Liu, Wei, et al.
Published: (2025)
Adaptive Replication Strategies in Trust-Region-Based Bayesian Optimization of Stochastic Functions
by: Binois, Mickael, et al.
Published: (2025)
by: Binois, Mickael, et al.
Published: (2025)
Compressed Distributed Stochastic Nonconvex Optimization with Differential Privacy
by: Xie, Antai, et al.
Published: (2026)
by: Xie, Antai, et al.
Published: (2026)
Stochastic Optimization Schemes for Performative Prediction with Nonconvex Loss
by: Li, Qiang, et al.
Published: (2024)
by: Li, Qiang, et al.
Published: (2024)
Dual Averaging Converges for Nonconvex Smooth Stochastic Optimization
by: Liu, Tuo, et al.
Published: (2025)
by: Liu, Tuo, et al.
Published: (2025)
Stratified adaptive sampling for derivative-free stochastic trust-region optimization
by: Amici, Giovanni, et al.
Published: (2026)
by: Amici, Giovanni, et al.
Published: (2026)
On Penalty Methods for Nonconvex Bilevel Optimization and First-Order Stochastic Approximation
by: Kwon, Jeongyeol, et al.
Published: (2023)
by: Kwon, Jeongyeol, et al.
Published: (2023)
SAPD+: An Accelerated Stochastic Method for Nonconvex-Concave Minimax Problems
by: Zhang, Xuan, et al.
Published: (2022)
by: Zhang, Xuan, et al.
Published: (2022)
A Regularized Newton Method for Nonconvex Optimization with Global and Local Complexity Guarantees
by: Zhou, Yuhao, et al.
Published: (2025)
by: Zhou, Yuhao, et al.
Published: (2025)
Stochastic Trust-Region Methods for Over-parameterized Models
by: Yang, Aike, et al.
Published: (2026)
by: Yang, Aike, et al.
Published: (2026)
Heterogeneous Stochastic Momentum ADMM for Distributed Nonconvex Composite Optimization
by: Zhang, Yangming, et al.
Published: (2026)
by: Zhang, Yangming, et al.
Published: (2026)
Compressed Zeroth-Order Algorithm for Stochastic Distributed Nonconvex Optimization
by: Wang, Haonan, et al.
Published: (2025)
by: Wang, Haonan, et al.
Published: (2025)
A Momentum-based Stochastic Algorithm for Linearly Constrained Nonconvex Optimization
by: Qiu, Chenyang, et al.
Published: (2026)
by: Qiu, Chenyang, et al.
Published: (2026)
Inexact Zeroth-Order Nonsmooth and Nonconvex Stochastic Composite Optimization and Applications
by: Pougkakiotis, Spyridon, et al.
Published: (2025)
by: Pougkakiotis, Spyridon, et al.
Published: (2025)
Efficient Single-Loop Stochastic Algorithms for Nonconvex-Concave Minimax Optimization
by: Jiang, Xia, et al.
Published: (2025)
by: Jiang, Xia, et al.
Published: (2025)
Stochastic Approximation for Expectation Objective and Expectation Inequality-Constrained Nonconvex Optimization
by: Facchinei, Francisco, et al.
Published: (2023)
by: Facchinei, Francisco, et al.
Published: (2023)
Similar Items
-
Iteration Complexity and Finite-Time Efficiency of Adaptive Sampling Trust-Region Methods for Stochastic Derivative-Free Optimization
by: Ha, Yunsoo, et al.
Published: (2023) -
Complexity of Zeroth- and First-order Stochastic Trust-Region Algorithms
by: Ha, Yunsoo, et al.
Published: (2024) -
Adaptive Sampling-Based Bi-Fidelity Stochastic Trust Region Method for Derivative-Free Stochastic Optimization
by: Ha, Yunsoo, et al.
Published: (2024) -
Multi-Fidelity Stochastic Trust Region Method with Adaptive Sampling
by: Ha, Yunsoo, et al.
Published: (2025) -
Two-Stage Estimation and Variance Modeling for Latency-Constrained Variational Quantum Algorithms
by: Ha, Yunsoo, et al.
Published: (2024)