Stochastic DCA with Variance Reduction and Applications in Machine Learning.
Hoai An Le ThiHoang Phuc Hau LuuHoai Minh LeTao Pham DinhPublished in: J. Mach. Learn. Res. (2022)
Keyphrases
- variance reduction
- machine learning
- monte carlo
- gradient estimation
- sample size
- random numbers
- bias variance decomposition
- importance sampling
- machine learning methods
- learning algorithm
- quasi monte carlo
- confidence intervals
- natural language processing
- information extraction
- active learning
- decision trees
- feature selection
- model selection
- naive bayes classifier
- semi supervised learning
- markov chain
- text mining
- reinforcement learning