Learning Hyperparameters with Variational Bayes: The Case for a Data-Emphasized Objective
Donald Bren Hall IrvineAbstract: A basic problem in supervised machine learning is avoiding overfitting when training a big neural network classifier. To solve this today, practitioners often resort…