Meta-Learning PAC-Bayes Priors in Model Averaging

24 Dec 2019Yimin HuangWeiran HuangLiang LiZhenguo Li

Nowadays model uncertainty has become one of the most important problems in both academia and industry. In this paper, we mainly consider the scenario in which we have a common model set used for model averaging instead of selecting a single final model via a model selection procedure to account for this model's uncertainty to improve reliability and accuracy of inferences... (read more)

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