Hellström, Fredrik, Durisi, Giuseppe, Guedj, Benjamin, and Raginsky, Maxim. Generalization Bounds: Perspectives from Information Theory and PAC-Bayes. Retrieved from https://par.nsf.gov/biblio/10568175. Foundations and Trends® in Machine Learning 18.1 Web. doi:10.1561/2200000112.

Hellström, Fredrik, Durisi, Giuseppe, Guedj, Benjamin, & Raginsky, Maxim. Generalization Bounds: Perspectives from Information Theory and PAC-Bayes. Foundations and Trends® in Machine Learning, 18 (1). Retrieved from https://par.nsf.gov/biblio/10568175. https://doi.org/10.1561/2200000112

Hellström, Fredrik, Durisi, Giuseppe, Guedj, Benjamin, and Raginsky, Maxim. "Generalization Bounds: Perspectives from Information Theory and PAC-Bayes". Foundations and Trends® in Machine Learning 18 (1). Country unknown/Code not available: Now Publishers. https://doi.org/10.1561/2200000112. https://par.nsf.gov/biblio/10568175.

@article{osti_10568175,
place = {Country unknown/Code not available}, title = {Generalization Bounds: Perspectives from Information Theory and PAC-Bayes}, url = {https://par.nsf.gov/biblio/10568175}, DOI = {10.1561/2200000112}, abstractNote = {}, journal = {Foundations and Trends® in Machine Learning}, volume = {18}, number = {1}, publisher = {Now Publishers}, author = {Hellström, Fredrik and Durisi, Giuseppe and Guedj, Benjamin and Raginsky, Maxim}, }