Gradient-flow adaptive importance sampling for Bayesian leave one out cross-validation for sigmoidal classification models.
Joshua C. ChangXiangting LiShixin XuHao-Ren YaoJulia PorcinoCarson C. ChowPublished in: CoRR (2024)
Keyphrases
- image sequences
- classification models
- importance sampling
- monte carlo
- posterior distribution
- feature selection
- markov chain monte carlo
- decision trees
- markov chain
- training data
- feature subset
- particle filter
- feature set
- active contours
- bayesian framework
- bayesian networks
- neural network
- probability distribution
- bayesian inference
- hyperparameters
- approximate inference