Bayesian Learning
A Bayesian network, Bayes network, belief network, Bayes(ian) model or probabilistic directed acyclic graphical model is a probabilistic graphical model (a type of statistical model) that represents a set of variables and their conditional dependencies via a directed acyclic graph (DAG). (Wikipedia)
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Fast Scalable and Accurate Discovery of DAGs Using the Best Order Score Search and Grow-Shrink Trees
Neural Information Processing Systems
We introduce the best order score search (BOSS) and grow-shrink trees (GSTs) for learning directed acyclic graphs (DAGs) in this paradigm.
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IPMix: Label-Preserving Data Augmentation Method for Training Robust Classifiers
Neural Information Processing Systems
Data augmentation has been proven effective for training high-accuracy convolu-tional neural network classifiers by preventing overfitting.
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