Generating density nowcasts for U.S. GDP growth with deep learning: Bayes by Backprop and Monte Carlo dropout.
Kristóf NémethDaniel HadhaziPublished in: CoRR (2024)
Keyphrases
- monte carlo
- deep learning
- unsupervised learning
- monte carlo simulation
- unsupervised feature learning
- importance sampling
- markov chain
- monte carlo methods
- mental models
- weakly supervised
- machine learning
- decision trees
- matrix inversion
- particle filter
- markovian decision
- monte carlo tree search
- co occurrence
- support vector machine
- game tree
- support vector
- reinforcement learning
- adaptive sampling
- model selection
- training set
- object recognition
- training data
- learning algorithm