Efficient Neural Network Approaches for Conditional Optimal Transport with Applications in Bayesian Inference.
Zheyu Oliver WangRicardo BaptistaYoussef M. MarzoukLars RuthottoDeepanshu VermaPublished in: CoRR (2023)
Keyphrases
- bayesian inference
- neural network
- probabilistic model
- hyperparameters
- bayesian model
- prior information
- bayesian models
- conditional probabilities
- gibbs sampler
- hidden variables
- probabilistic modeling
- variational inference
- markov networks
- expectation propagation
- prior distribution
- statistical inference
- dynamic programming