Gradient tracking and variance reduction for decentralized optimization and machine learning.
Ran XinSoummya KarUsman A. KhanPublished in: CoRR (2020)
Keyphrases
- variance reduction
- gradient estimation
- machine learning
- policy gradient
- monte carlo
- sample size
- particle filter
- object tracking
- decision trees
- model selection
- importance sampling
- video sequences
- distributed systems
- computer vision
- data mining
- reinforcement learning
- kalman filter
- conditional probabilities
- bias variance decomposition
- training set
- naive bayes classifier
- confidence intervals
- probabilistic inference
- visual tracking
- active learning
- support vector machine
- information extraction
- markov random field
- text classification