Reformative Noise-Immune Neural Network for Equality-Constrained Optimization Applied to Image Target Detection
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Emerging Topics in Computing"
DOI: 10.1109/tetc.2021.3057395
Abstract: Equality-constrained optimization problem captures increasing attention in the fields of computer science, control engineering, and applied mathematics. Almost all of the relevant issues suffer from kinds of intense or weak noises during the solving process,… read more here.
Keywords: constrained optimization; neural network; noise; equality constrained ... See more keywords
Laplacian Smoothing Stochastic ADMMs With Differential Privacy Guarantees
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Information Forensics and Security"
DOI: 10.1109/tifs.2022.3170271
Abstract: Many machine learning tasks such as structured sparse coding and multi-task learning can be converted into an equality constrained optimization problem. The stochastic alternating direction method of multipliers (SADMM) is a popular algorithm to solve… read more here.
Keywords: smoothing stochastic; stochastic admm; privacy; equality constrained ... See more keywords
An adaptively regularized sequential quadratic programming method for equality constrained optimization
Sign Up to like & getrecommendations! Published in 2020 at "Journal of Industrial and Management Optimization"
DOI: 10.3934/jimo.2019075
Abstract: In this paper, we devise an adaptively regularized SQP method for equality constrained optimization problem that is resilient to constraint degeneracy, with a relatively small departure from classical SQP method. The main feature of our… read more here.
Keywords: optimization; method; adaptively regularized; method equality ... See more keywords