Accelerated Variance Reduction Stochastic ADMM for Large-Scale Machine Learning.
Yuanyuan LiuFanhua ShangHongying LiuLin KongLicheng JiaoZhouchen LinPublished in: IEEE Trans. Pattern Anal. Mach. Intell. (2021)
Keyphrases
- variance reduction
- machine learning
- monte carlo
- gradient estimation
- sample size
- importance sampling
- learning algorithm
- decision trees
- quasi monte carlo
- bias variance decomposition
- machine learning methods
- information extraction
- model selection
- data mining
- text classification
- support vector machine
- active learning
- convex optimization
- feature selection
- computer vision
- em algorithm
- semi supervised learning
- confidence intervals
- computational complexity
- training data
- alternating direction method of multipliers