Blog Posts
Bregman Divergences James Robinson | July 16, 2018
Bregman Divergences are incredibly powerful tools for deriving and analyzing many machine learning algorithms. This blog shows how they are derived and how you can find new ones.
Intro to Online Learning James Robinson | March 14, 2018
In this post we take the first steps in the field of Online Learning, framed as a game between the learner and an evil adversary. We look at some simple algorithms and analyze them.
Spectral Clustering James Robinson | Feb. 22, 2018
Spectral Clustering is a powerful clustering method which avoids the pitfalls of simpler methods such as K-means. It uses some beautiful graph theory, let's go!
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