Statistical Learning Theory

On regularization and inference with label constraints
Prior knowledge and symbolic rules in machine learning are often expressed in the form of label constraints, especially in structured …
Kaifu Wang, Hangfeng He, Tin Nguyen, Piyush Kumar, Dan Roth
PAC-Bayes Tree: weighted subtrees with guarantees
We present a weighted-majority classification approach over subtrees of a fixed tree, which provably achieves excess-risk of the same …
Tin Nguyen, Samory Kpotufe
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