KL-Divergence Guided Temperature Sampling.
Chung-Ching ChangDavid ReitterRenat AksitovYun-Hsuan SungPublished in: CoRR (2023)
Keyphrases
- kl divergence
- kullback leibler
- kullback leibler divergence
- mahalanobis distance
- information theoretic
- gaussian mixture
- gaussian distribution
- probability density
- random sampling
- posterior distribution
- noise model
- exponential family
- mutual information
- sample size
- monte carlo
- support vector
- markov chain monte carlo
- clustering method
- probabilistic latent semantic analysis
- distance measure