Hello, World
Hello, world! Another blog has come into existence. Woo! Find out more about me here and here. Posts to follow soon. I promise.
View ArticleA Short Note on The Y Combinator
Cross-posted at https://invenia.github.io/blog/2018/08/20/ycombinator/. Introduction This post is a short note on the notorious Y combinator. No, not that company, but the computer sciency objects that...
View ArticleSolutions for High-Dimensional Statistics
A brief update: Jiri and I have been working through the new book High-Dimensional Statistics: A Non-Asymptotic Viewpoint by Martin E. Wainwright, which has been really good so far. In the process, we...
View ArticleJulia Learning Circle: JIT and Method Invalidations
I am participating in a learning circle with the goal of gaining a better understanding of the Julia language. To better retain what we learn, I will be turning my notes into small blog posts. The...
View ArticleJulia Learning Circle: Memory Allocations and Garbage Collection
Immutable and Mutable TypesConcrete types in Julia are either immutable or mutable. Immutable types are created with struct ImmutableType and mutable types are created with mutable struct MutableType....
View ArticleJulia Learning Circle: Generated Functions
A normal function outputs the result of the computation by the function. In contrast, a generated function outputs the code that implements the function. While generating this code, the generated...
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Linear Models from a Gaussian Process Point of View with Stheno and JAX
By Wessel Bruinsma, James Requeima, and Eric Perim MartinsCross-posted on the Invenia blog.IntroductionA linear model prescribes a linear relationship between inputs and outputs. Linear models are...
View ArticleWhat Keeps a Bayesian Awake at Night
The Cambridge Machine Learning Group is launching a blog, featuring a first two-part post about what keeps a Bayesian awake at night. In the first part, during day time, we lay out the standard...
View ArticleA Short Note on Uniform Integrability
IntroductionA sequence of random variables $(X_n)_{n \ge 1} \sub L^1$ is called $L^1$-convergent if there exists some limit $X \in L^1$ such that $\E|X_n - X| \to 0$ as $n \to \infty$. In this post, we...
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