Low-Complexity Nonparametric Bayesian Online Prediction with Universal Guarantees

Alix LHERITIER, Frederic Cazals

Neural Information Processing Systems 

Weprove its pointwise universality, i.e., it achieves a normalized log loss performance asymptotically as good as the true conditional entropy of the labels given the features.