Monte Carlo Gradient Estimation in Machine Learning.
Shakir MohamedMihaela RoscaMichael FigurnovAndriy MnihPublished in: CoRR (2019)
Keyphrases
- monte carlo
- gradient estimation
- variance reduction
- machine learning
- importance sampling
- monte carlo simulation
- markov chain
- quasi monte carlo
- adaptive sampling
- monte carlo tree search
- markovian decision
- learning algorithm
- support vector machine
- monte carlo methods
- game tree
- feature selection
- conditional density estimation
- decision trees
- temporal difference
- particle filter
- sample size
- text mining
- model selection
- supervised learning
- text classification
- active learning
- bayesian inference
- text categorization