A Refined MCMC Sampling from RKHS for PAC-Bayes Bound Calculation.
Li TangZheng ZhaoXiujun GongPublished in: J. Comput. (2014)
Keyphrases
- pac bayes
- markov chain monte carlo
- risk bounds
- data dependent
- generalization bounds
- reproducing kernel hilbert space
- linear classifiers
- bayesian inference
- approximate inference
- generative model
- learning theory
- kernel methods
- parameter estimation
- random sampling
- learning algorithm
- sample size
- random projections
- vc dimension
- statistical learning theory
- uniform convergence
- gaussian process
- distance measure
- empirical risk minimization
- support vector machine
- active learning