Practical bounds on the error of Bayesian posterior approximations: A nonasymptotic approach.
Jonathan H. HugginsTrevor CampbellMikolaj KasprzakTamara BroderickPublished in: CoRR (2018)
Keyphrases
- variance reduction
- error bounds
- closed form expressions
- upper bound
- worst case
- error rate
- error metrics
- error tolerance
- real world
- approximation methods
- practical application
- tight bounds
- real time
- closed form
- upper and lower bounds
- practical problems
- error measure
- linear complexity
- sample size
- training set
- learning algorithm
- databases