Bayesian Inference for Optimal Transport with Stochastic Cost.
Anton MallastoMarkus HeinonenSamuel KaskiPublished in: CoRR (2020)
Keyphrases
- bayesian inference
- probabilistic model
- bayesian model
- prior information
- expected cost
- statistical inference
- variational bayes
- minimum cost
- variational inference
- hyperparameters
- particle filter
- hidden variables
- hierarchical bayesian
- probabilistic modeling
- gibbs sampler
- average cost
- optimal solution
- total cost
- monte carlo
- dynamic programming
- maximum likelihood
- expectation propagation
- data sets
- echelon stock