Randomized Distributional Design for Bayesian Transfer Learning
Video: https://vimeo.com/215556154 We characterize the Bayesian transfer learning problem as one of conditioning on external stochastic knowledge, typically a partially or completely specified distribution. The knowledge is `external’ in that a joint probability model specifying the stochastic dependence on this knowledge is not available. In consequence, there is no unique …