High-Dimensional Variance-Reduced Stochastic Gradient Expectation-Maximization Algorithm.
Rongda ZhuLingxiao WangChengxiang ZhaiQuanquan GuPublished in: ICML (2017)
Keyphrases
- stochastic gradient
- expectation maximization
- high dimensional
- probabilistic model
- optimization algorithm
- em algorithm
- optimal solution
- worst case
- particle swarm optimization
- bayesian framework
- learning algorithm
- objective function
- lower bound
- machine learning
- monte carlo
- differential evolution
- nearest neighbor classifier
- stochastic gradient descent