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!

Statistics


Classic Papers


Others


Bootstrapping


Machine Learning


No Free Lunch Theorems


DBSCAN


Naive Bayes Classifier


Bias-Variance Trade-off


Support Vector Machines


Word2vec


Neural Networks


Tree Algorithms, Bagging, Boosting


Others