Accelerating stochastic sequential quadratic programming for equality constrained optimization using predictive variance reduction
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Publication:6166650
DOI10.1007/s10589-023-00483-2arXiv2204.04161OpenAlexW4366428518MaRDI QIDQ6166650
Zihong Yi, Baoyu Zhou, Albert S. Berahas, Jiahao Shi
Publication date: 3 August 2023
Published in: Computational Optimization and Applications (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/2204.04161
equality constraintsvariance reductionconstrained stochastic optimizationsequential quadratic programming (SQP)
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- An optimal method for stochastic composite optimization
- Minimizing finite sums with the stochastic average gradient
- An inexact accelerated stochastic ADMM for separable convex optimization
- Physics-constrained deep learning for high-dimensional surrogate modeling and uncertainty quantification without labeled data
- First-order and stochastic optimization methods for machine learning
- An Inexact SQP Method for Equality Constrained Optimization
- Robust Stochastic Approximation Approach to Stochastic Programming
- Optimization Methods for Large-Scale Machine Learning
- Sequential Quadratic Optimization for Nonlinear Equality Constrained Stochastic Optimization
- A stochastic alternating direction method of multipliers for non-smooth and non-convex optimization
- Lectures on Stochastic Programming: Modeling and Theory, Third Edition
- Stochastic Dual Coordinate Ascent Methods for Regularized Loss Minimization
- A Stochastic Approximation Method
- Mini-batch stochastic approximation methods for nonconvex stochastic composite optimization
- An adaptive stochastic sequential quadratic programming with differentiable exact augmented Lagrangians