Exponential Families, Conjugacy, Convexity, and Variational Inference Any parameterized family of probability densities that can be written…
For a normalized distribution , constructed from an (unnormalized) energy with normalizing constant as a function of parameters , in…
Mirror descent is a framework for optimization algorithms: many algorithms can be framed as mirror descent, and proofs about mirror descent…
In kindergarten stats, you learn how to build a model that takes in data (a feature vector, image, sound file, etc) and predicts a single…