Efficient Cholesky decomposition of low-rank updates
A short and practical guide to efficiently computing the Cholesky decomposition of matrices perturbed by low-rank updates
Last updated on Apr 19, 2023
5 min read
An Illustrated Guide to the Knowledge Gradient Acquisition Function
A short illustrated reference guide to the Knowledge Gradient acquisition function with an implementation from scratch in TensorFlow Probability.
Last updated on Oct 22, 2022
7 min read
Building Probability Distributions with the TensorFlow Probability Bijector API
We illustrate how to build complicated probability distributions in a modular fashion using the Bijector API from TensorFlow Probability.
Last updated on Oct 16, 2022
8 min read