Unrolling Particles: Unsupervised Learning of Sampling Distributions.
Fernando GamaNicolas ZilbersteinRichard G. BaraniukSantiago SegarraPublished in: CoRR (2021)
Keyphrases
- unsupervised learning
- proposal distribution
- particle filter
- supervised learning
- particle filtering
- probability distribution
- semi supervised
- mixture model
- sampling strategy
- object recognition
- random samples
- random sampling
- random variables
- sampling methods
- deep learning
- monte carlo
- sample size
- model selection
- machine learning
- highly skewed
- dimensionality reduction
- text classification
- gaussian distribution
- sampling strategies
- image reconstruction
- expectation maximization
- sampled data
- heavy tailed
- power law
- sampling algorithm
- sampling rate
- importance sampling
- feature selection
- exponential family
- data sets
- minimum message length
- exponential distributions
- particle swarm
- markov chain monte carlo
- posterior distribution
- density function
- reinforcement learning
- decision trees
- neural network