Structure your experiment's results using hive partitioning
January 10, 2026
If you structure your experiment’s results in a certain way, you get the loading almost for free using duckdb.
Blog
The future of black box optimization benchmarking is procedural
February 16, 2025
Recent work by Saxon et al. highlights the need for dynamic benchmarks, and I think procedural content generators might provide an answer.
Mapping high-dimensional Bayesian optimization using small molecules
June 21, 2024
Starting a map of high-dimensional Bayesian optimization (of discrete sequences) using small molecules as a guiding example
Do Gaussian Processes scale well with dimension?
March 16, 2024
This blogpost implements a small experiment to check when and how Gaussian Processes fail in high dimensions, and explains recent research on the subject.
Bayesian Optimization using Gaussian Processes: an introduction
July 31, 2023
An introduction to Bayesian optimization using Gaussian Processes.
Training a VAE on Super Mario Bros and playing its levels
May 23, 2022
Representing levels from Super Mario Bros as strings, and learning a continuous representation using Variational Autoencoders.
On Stuttering
December 24, 2020
An essay on stuttering, my experience, and a little bit about the neuroscience behind it.
Translating measure theory into probability
December 15, 2020
a Rosetta stone, showing how basic concepts in measure theory (e.g. a measurable functions) correspond to concepts in probability theory (e.g. random variables).
Creating Priors using Normal Noise
January 15, 2020
In this blogpost I share a technique to generate random priors from Gaussian noise (by having the noise model the slope/curvature of the prior).
Creating a random graph from a string
October 25, 2019
Generating random graphs using strings to seed the number generators.