A tutorial on Bayesian Belief Bellman equations
And Information Directed Sampling
In what sense is Bayesian updating optimal?
Minimizing Surprise Leads to Bayes' Rule
A Tutorial on Ciphers
From Caesar to a Simplified Enigma
Typicality
In high dimensions, typical is unintuitive
Diffusion posterior sampling
A review of recent work
Score functions, denoising and diffusion
Diffusion is just stacked denoising score matching!
Graph enumeration
The orderly enumeration of graphs
The fable of the caterpillar
A fun intro to my masters topic; abstraction for efficient reinforcment learning.
Causal calculus
A connection between causal inference and gradients?
Deep learning
An intro to deep learining for COMP421.