Detecting and Adapting to Irregular Distribution Shifts in Bayesian Online Learning.
Aodong LiAlex BoydPadhraic SmythStephan MandtPublished in: NeurIPS (2021)
Keyphrases
- online learning
- e learning
- distance education
- computer mediated
- random variables
- bayesian networks
- posterior distribution
- online course
- distance learning
- automatic detection
- classroom learning
- prior distribution
- neural network
- decision trees
- maximum likelihood
- higher education
- blended learning
- online learning environments
- arbitrarily shaped
- bayesian estimation
- bayesian methods
- probability distribution
- data driven
- density function
- bayesian inference
- expectation maximization
- probability density function
- database
- em algorithm