Saved in:
| Main Authors: | Sun, Shigeng, Nocedal, Jorge |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2411.02665 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Design Guidelines for Noise-Tolerant Optimization with Applications in Robust Design
by: Lou, Yuchen, et al.
Published: (2024)
by: Lou, Yuchen, et al.
Published: (2024)
Fully Stochastic Trust-Region Sequential Quadratic Programming for Equality-Constrained Optimization Problems
by: Fang, Yuchen, et al.
Published: (2022)
by: Fang, Yuchen, et al.
Published: (2022)
A Feasible Method for Constrained Derivative-Free Optimization
by: Xuan, Melody Qiming, et al.
Published: (2024)
by: Xuan, Melody Qiming, et al.
Published: (2024)
Progressively Sampled Equality-Constrained Optimization
by: Curtis, Frank E., et al.
Published: (2025)
by: Curtis, Frank E., et al.
Published: (2025)
Self-supervised Equality Embedded Deep Lagrange Dual for Approximate Constrained Optimization
by: Kim, Minsoo, et al.
Published: (2023)
by: Kim, Minsoo, et al.
Published: (2023)
A Sequential Quadratic Programming Method with High Probability Complexity Bounds for Nonlinear Equality Constrained Stochastic Optimization
by: Berahas, Albert S., et al.
Published: (2023)
by: Berahas, Albert S., et al.
Published: (2023)
LAGO: A Local-Global Optimization Framework Combining Trust Region Methods and Bayesian Optimization
by: Van Dieren, Eliott, et al.
Published: (2026)
by: Van Dieren, Eliott, et al.
Published: (2026)
Decentralized Stability-Constrained Optimal Power Flow for Inverter-Based Power Systems
by: Wang, Shigeng, et al.
Published: (2026)
by: Wang, Shigeng, et al.
Published: (2026)
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)
humancompatible.train: Implementing Optimization Algorithms for Stochastically-Constrained Stochastic Optimization Problems
by: Kliachkin, Andrii, et al.
Published: (2025)
by: Kliachkin, Andrii, et al.
Published: (2025)
Understanding Gradient Orthogonalization for Deep Learning via Non-Euclidean Trust-Region Optimization
by: Kovalev, Dmitry
Published: (2025)
by: Kovalev, Dmitry
Published: (2025)
An Inexact Weighted Proximal Trust-Region Method
by: Maia, Leandro Farias, et al.
Published: (2026)
by: Maia, Leandro Farias, et al.
Published: (2026)
Derivative-Free Sequential Quadratic Programming for Equality-Constrained Stochastic Optimization
by: Na, Sen
Published: (2025)
by: Na, Sen
Published: (2025)
Single-Loop Deterministic and Stochastic Interior-Point Algorithms for Nonlinearly Constrained Optimization
by: Curtis, Frank E., et al.
Published: (2024)
by: Curtis, Frank E., et al.
Published: (2024)
The ADMM-PINNs Algorithmic Framework for Nonsmooth PDE-Constrained Optimization: A Deep Learning Approach
by: Song, Yongcun, et al.
Published: (2023)
by: Song, Yongcun, et al.
Published: (2023)
Stochastic Trust-Region Methods for Over-parameterized Models
by: Yang, Aike, et al.
Published: (2026)
by: Yang, Aike, et al.
Published: (2026)
A Stochastic-Gradient-based Interior-Point Algorithm for Solving Smooth Bound-Constrained Optimization Problems
by: Curtis, Frank E., et al.
Published: (2023)
by: Curtis, Frank E., et al.
Published: (2023)
Dynamic Anisotropic Smoothing for Noisy Derivative-Free Optimization
by: Reifenstein, Sam, et al.
Published: (2024)
by: Reifenstein, Sam, 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)
Improved Approximation Algorithms for Orthogonally Constrained Problems Using Semidefinite Optimization
by: Cory-Wright, Ryan, et al.
Published: (2025)
by: Cory-Wright, Ryan, et al.
Published: (2025)
Exact and Heuristic Algorithms for Constrained Biclustering
by: Sudoso, Antonio M.
Published: (2025)
by: Sudoso, Antonio M.
Published: (2025)
A Non-Monotone Preconditioned Trust-Region Method for Neural Network Training
by: Angino, Andrea, et al.
Published: (2026)
by: Angino, Andrea, et al.
Published: (2026)
Constrained Bi-Level Optimization: Proximal Lagrangian Value function Approach and Hessian-free Algorithm
by: Yao, Wei, et al.
Published: (2024)
by: Yao, Wei, et al.
Published: (2024)
A Sinkhorn-type Algorithm for Constrained Optimal Transport
by: Tang, Xun, et al.
Published: (2024)
by: Tang, Xun, et al.
Published: (2024)
HUANet: Hard-Constrained Unrolled ADMM for Constrained Convex Optimization
by: Tran, Trinh, et al.
Published: (2026)
by: Tran, Trinh, et al.
Published: (2026)
Fast Algorithm for Constrained Linear Inverse Problems
by: Sheriff, Mohammed Rayyan, et al.
Published: (2022)
by: Sheriff, Mohammed Rayyan, et al.
Published: (2022)
Non-overlapping, Schwarz-type Domain Decomposition Method for Physics and Equality Constrained Artificial Neural Networks
by: Hu, Qifeng, et al.
Published: (2024)
by: Hu, Qifeng, et al.
Published: (2024)
Trust-Region Sequential Quadratic Programming for Stochastic Optimization with Random Models
by: Fang, Yuchen, et al.
Published: (2024)
by: Fang, Yuchen, et al.
Published: (2024)
A Single-Loop First-Order Algorithm for Linearly Constrained Bilevel Optimization
by: Shen, Wei, et al.
Published: (2025)
by: Shen, Wei, et al.
Published: (2025)
LyAm: Robust Non-Convex Optimization for Stable Learning in Noisy Environments
by: Mirzabeigi, Elmira, et al.
Published: (2025)
by: Mirzabeigi, Elmira, et al.
Published: (2025)
BAGEL: Projection-Free Algorithm for Adversarially Constrained Online Convex Optimization
by: Lu, Yiyang, et al.
Published: (2025)
by: Lu, Yiyang, et al.
Published: (2025)
Physics-Informed Neural Networks with Hard Linear Equality Constraints
by: Chen, Hao, et al.
Published: (2024)
by: Chen, Hao, et al.
Published: (2024)
Accelerating Multi-Block Constrained Optimization Through Learning to Optimize
by: Liang, Ling, et al.
Published: (2024)
by: Liang, Ling, et al.
Published: (2024)
Functionally Constrained Algorithm Solves Convex Simple Bilevel Problems
by: Zhang, Huaqing, et al.
Published: (2024)
by: Zhang, Huaqing, et al.
Published: (2024)
Conformal Predictive Programming for Chance Constrained Optimization
by: Zhao, Yiqi, et al.
Published: (2024)
by: Zhao, Yiqi, et al.
Published: (2024)
Stochastic-Constrained Stochastic Optimization with Markovian Data
by: Kim, Yeongjong, et al.
Published: (2023)
by: Kim, Yeongjong, et al.
Published: (2023)
On PI Controllers for Updating Lagrange Multipliers in Constrained Optimization
by: Sohrabi, Motahareh, et al.
Published: (2024)
by: Sohrabi, Motahareh, et al.
Published: (2024)
Self-Supervised Learning of Iterative Solvers for Constrained Optimization
by: Lüken, Lukas, et al.
Published: (2024)
by: Lüken, Lukas, et al.
Published: (2024)
Learning Constrained Optimization with Deep Augmented Lagrangian Methods
by: Kotary, James, et al.
Published: (2024)
by: Kotary, James, et al.
Published: (2024)
First-Order Methods for Linearly Constrained Bilevel Optimization
by: Kornowski, Guy, et al.
Published: (2024)
by: Kornowski, Guy, et al.
Published: (2024)
Similar Items
-
Design Guidelines for Noise-Tolerant Optimization with Applications in Robust Design
by: Lou, Yuchen, et al.
Published: (2024) -
Fully Stochastic Trust-Region Sequential Quadratic Programming for Equality-Constrained Optimization Problems
by: Fang, Yuchen, et al.
Published: (2022) -
A Feasible Method for Constrained Derivative-Free Optimization
by: Xuan, Melody Qiming, et al.
Published: (2024) -
Progressively Sampled Equality-Constrained Optimization
by: Curtis, Frank E., et al.
Published: (2025) -
Self-supervised Equality Embedded Deep Lagrange Dual for Approximate Constrained Optimization
by: Kim, Minsoo, et al.
Published: (2023)