• An interactive introduction to Bayesian non-parametrics. Static version.
• Restatement of a proof of the impossibility of probabilistic induction
• Randomized Newton’s Method for convex optimization
• Slides on a 1975 paper by Irving John Good titled Explicativity, Corroboration, and the Relative Odds of Hypotheses. The paper is I.J. Good’s response to Karl Popper, and in the presentation I compare the two philosophers’ views on probability, epistemology, induction, simplicity, and content.
• Semi-legible notes on Stein Variational Gradient Descent by Liu and Wang.
• UDLS presentation about the non-existence of free will.