Statistical Learning Theory and Concentration Inequalities

A rigorous exploration of statistical learning theory and concentration inequalities, covering fundamental bounds and their applications in machine learning.
machine-learning
theory
mathematics
statistics
Author

Ram Polisetti

Published

March 19, 2024

listing: contents: “../**/index.qmd” type: default fields: [title, description, date, author] sort: “date desc” max-items: 2 filter-ui: false categories: false include-in-header: false feed: true date-format: “MMMM D, YYYY”


::: :::