Great Papers In Statistics and Machine Learning

This is a list of research papers that I found to be interesting.

Most of these papers had great impact, or discussed concepts that had great impact, in the fields of statistics and machine learning. In fact, a lot of these papers are regarded as major historical advancements in their respective fields.

The number of citations for each entry is a rough guide, since they are only correct when I first add the entry. Over time, I might add a few brief thoughts and comments on individual papers.

I hope you have as much fun as I did exploring them!


Classic Papers



Machine Learning

No Free Lunch Theorems


Naive Bayes Classifier

Bias-Variance Trade-off

Support Vector Machines


Neural Networks

Tree Algorithms, Bagging, Boosting