Bayesian Inference for Optimal Transport with Stochastic Cost.
Anton MallastoMarkus HeinonenSamuel KaskiPublished in: ACML (2021)
Keyphrases
- bayesian inference
- prior information
- hyperparameters
- probabilistic model
- dynamic programming
- hierarchical bayesian
- bayesian model
- variational inference
- statistical inference
- expected cost
- weighted model counting
- echelon stock
- gibbs sampler
- hidden variables
- particle filter
- minimum cost
- expectation propagation
- semi supervised
- search space
- optimal solution
- average cost
- probabilistic modeling
- bayesian models
- machine learning