Reliable Estimation of KL Divergence using a Discriminator in Reproducing Kernel Hilbert Space.
Sandesh GhimireAria MasoomiJennifer G. DyPublished in: CoRR (2021)
Keyphrases
- reproducing kernel hilbert space
- density estimation
- loss function
- kernel methods
- kullback leibler divergence
- kernel function
- learning theory
- gaussian process
- distance measure
- euclidean space
- parameter estimation
- information theoretic
- learning problems
- pairwise
- mixture model
- model selection
- least squares
- metric learning
- random sampling
- hyperparameters
- support vector