PAC-Bayes Bounds on Variational Tempered Posteriors for Markov Models.
Imon BanerjeeVinayak A. RaoHarsha HonnappaPublished in: Entropy (2021)
Keyphrases
- pac bayes
- markov models
- risk bounds
- markov model
- maximum entropy
- generalization bounds
- hidden markov models
- higher order
- linear classifiers
- data dependent
- conditional random fields
- bayesian inference
- empirical risk minimization
- posterior distribution
- markov networks
- learning algorithm
- vc dimension
- image segmentation
- generalization ability
- learning theory
- posterior probability
- markov random field
- probability distribution
- stochastic processes
- model selection