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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Log-Likelihood Ratio Minimizing Flows: Towards Robust and Quantifiable Neural Distribution Alignment Ben Usman
Neural Information Processing Systems
The variability of what "similar" means in this context, which transformations are allowed, and whether data points themselves or their feature representations
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Gradient-EMBayesianMeta-learning
Neural Information Processing Systems
The key idea behind Bayesian meta-learning is empirical Bayes inference of hierarchical model.
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