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notes

Tutorial for generating LaTeX documents from Emacs and Org-mode.

https://qiita.com/diadochos/items/acf876adf16abc6d97e0

Handbook of Neuroscience for Computer Scientists.

v0.1

Empirical processes for those who are familiar with statistical learning theory.

Goal

This page describes basic facts and references on empirical process theories for those who are already familiar with statistical learning theory.

Paper reading

Reading notes on loss functions.

Proper loss

Reference

Buja, A., Stuetzle, W., & Shen, Y. (2005). Loss functions for binary class probability estimation and classiﬁcation: Structure and applications. https://pdfs.semanticscholar.org/d670/6b6e626c15680688b0774419662f2341caee.pdf
Reid, M. D., & Williamson, R. C. (2009). Surrogate regret bounds for proper losses. Proceedings of the 26th Annual International Conference on Machine Learning - ICML ’09, 1–8. https://doi.org/10.1145/1553374.1553489