2020
Conditioning and Processing: Techniques to Improve Information-Theoretic Generalization Bounds
NeurIPS 2020poster
Obtaining generalization bounds for learning algorithms is one of the main subjects studied in theoretical machine learning. In recent years, information-theoretic bounds on generalization have gained the attention of researchers. This approach provides an insight into learning algorithms by conside…