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2007.10525
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Sequential Quadratic Optimization for Nonlinear Equality Constrained Stochastic Optimization
20 July 2020
A. Berahas
Frank E. Curtis
Daniel P. Robinson
Baoyu Zhou
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Papers citing
"Sequential Quadratic Optimization for Nonlinear Equality Constrained Stochastic Optimization"
19 / 19 papers shown
Title
Progressively Sampled Equality-Constrained Optimization
Frank E. Curtis
Lingjun Guo
Daniel P. Robinson
24
0
0
01 Oct 2025
humancompatible.train: Implementing Optimization Algorithms for Stochastically-Constrained Stochastic Optimization Problems
Andrii Kliachkin
Jana Lepšová
Gilles Bareilles
Jakub Marecek
24
0
0
25 Sep 2025
Single-loop Algorithms for Stochastic Non-convex Optimization with Weakly-Convex Constraints
Ming-Hsuan Yang
Gang Li
Quanqi Hu
Qihang Lin
Tianbao Yang
138
3
0
21 Apr 2025
Bregman Linearized Augmented Lagrangian Method for Nonconvex Constrained Stochastic Zeroth-order Optimization
Qiankun Shi
Xiao Wang
Hao Wang
102
0
0
13 Apr 2025
High Probability Complexity Bounds of Trust-Region Stochastic Sequential Quadratic Programming with Heavy-Tailed Noise
Yuchen Fang
Javad Lavaei
Katya Scheinberg
129
0
0
24 Mar 2025
Trust-Region Sequential Quadratic Programming for Stochastic Optimization with Random Models
Yuchen Fang
Sen Na
Michael W. Mahoney
Mladen Kolar
165
3
0
24 Sep 2024
Physics-Informed Neural Networks with Trust-Region Sequential Quadratic Programming
Xiaoran Cheng
Sen Na
PINN
128
1
0
16 Sep 2024
Single-Loop Deterministic and Stochastic Interior-Point Algorithms for Nonlinearly Constrained Optimization
Frank E. Curtis
Xin Jiang
Qi Wang
63
4
0
29 Aug 2024
Scaling physics-informed hard constraints with mixture-of-experts
N. Chalapathi
Yiheng Du
Aditi Krishnapriyan
AI4CE
165
23
0
20 Feb 2024
Almost-sure convergence of iterates and multipliers in stochastic sequential quadratic optimization
Journal of Optimization Theory and Applications (JOTA), 2023
Frank E. Curtis
Xin Jiang
Qi Wang
125
6
0
07 Aug 2023
Constrained Optimization via Exact Augmented Lagrangian and Randomized Iterative Sketching
International Conference on Machine Learning (ICML), 2023
Ilgee Hong
Sen Na
Michael W. Mahoney
Mladen Kolar
92
6
0
28 May 2023
A Stochastic-Gradient-based Interior-Point Algorithm for Solving Smooth Bound-Constrained Optimization Problems
SIAM Journal on Optimization (SIOPT), 2023
Frank E. Curtis
Vyacheslav Kungurtsev
Daniel P. Robinson
Qi Wang
78
13
0
28 Apr 2023
Oracle Complexity of Single-Loop Switching Subgradient Methods for Non-Smooth Weakly Convex Functional Constrained Optimization
Neural Information Processing Systems (NeurIPS), 2023
Yan Huang
Qihang Lin
155
14
0
30 Jan 2023
A Sequential Quadratic Programming Method with High Probability Complexity Bounds for Nonlinear Equality Constrained Stochastic Optimization
SIAM Journal on Optimization (SIOPT), 2023
A. Berahas
Miao Xie
Baoyu Zhou
116
16
0
01 Jan 2023
Fully Stochastic Trust-Region Sequential Quadratic Programming for Equality-Constrained Optimization Problems
SIAM Journal on Optimization (SIAM J. Optim.), 2022
Yuchen Fang
Sen Na
Michael W. Mahoney
Mladen Kolar
110
33
0
29 Nov 2022
Statistical Inference of Constrained Stochastic Optimization via Sketched Sequential Quadratic Programming
Sen Na
Michael W. Mahoney
241
10
0
27 May 2022
Inequality Constrained Stochastic Nonlinear Optimization via Active-Set Sequential Quadratic Programming
Mathematical programming (Math. Program.), 2021
Sen Na
M. Anitescu
Mladen Kolar
113
42
0
23 Sep 2021
A Stochastic Sequential Quadratic Optimization Algorithm for Nonlinear Equality Constrained Optimization with Rank-Deficient Jacobians
A. Berahas
Frank E. Curtis
Michael OÑeill
Daniel P. Robinson
113
41
0
24 Jun 2021
An Adaptive Stochastic Sequential Quadratic Programming with Differentiable Exact Augmented Lagrangians
Mathematical programming (Math. Program.), 2021
Sen Na
M. Anitescu
Mladen Kolar
179
53
0
10 Feb 2021
1