Home

Welcome to my notebook!

I'm a data scientist who likes writing about machine learning, functional programming, and above all, mathematics.

I've reproduced a list of recent posts here for your reading pleasure:

Posts

• Online learning and FoReL - August 16, 2023
• Counterfactual regret minimization - July 30, 2023
• Recursion and fixed points - December 21, 2022
• The neural tangent kernel - July 10, 2022
• Neural network Gaussian process kernels - July 7, 2022
• Notes on generalization theory - July 1, 2022
• Replica symmetry breaking - June 26, 2022
• Sherrington-Kirkpatrick model and the replica method - June 16, 2022
• Particle MCMC methods - August 30, 2020
• Empirical inference in Pyro - August 27, 2020
• Dirichlet processes - August 16, 2020
• Stochastic gradient estimators - August 11, 2020
• Probabilistic effects programming with Pyro - July 30, 2020
• Probability sheaves - June 20, 2020
• Probability monads - June 14, 2020
• Kullback-Leibler divergence, categorically - June 1, 2020
• Entropy in information theory - May 30, 2020
• Thermometer continuations, part 2 - February 15, 2020
• Thermometer continuations, part 1 - February 12, 2020
• Algebraic effects and freeness - February 9, 2020
• Delimited continuations - February 3, 2020
• Langevin dynamics for Bayesian inference - January 29, 2020
• Dual numbers in autodifferentiation - January 25, 2020
• Optics in Haskell - January 23, 2020
• Profunctors are generalized functors - January 21, 2020
• Initial post - January 20, 2020

…or you can find more in the archives.