Incentive-Theoretic Bayesian Inference for Collaborative Science.
Stephen BatesMichael I. JordanMichael SklarJake A. SoloffPublished in: CoRR (2023)
Keyphrases
- bayesian inference
- probabilistic model
- hyperparameters
- prior information
- statistical inference
- variational inference
- weighted model counting
- collaborative learning
- bayesian model
- hidden variables
- variational bayes
- hierarchical bayesian
- bayesian models
- particle filter
- expectation propagation
- variational approximation
- density estimation
- science education
- graphical models
- prior distribution
- semi supervised
- computer science