Writing
Everything, newest first within each category.
01 — Causality
019
CID Tutorial 1
A causal influence diagram for the oil wildcatter problem, and its optimal decisions.
018
Notes on causality in games
016
Identifiability of Causes
How to identify causal effects from distributions
010
Causality and ML-3
Causality in terms of DAGs: the Markov assumption, d-separation, and removing confounders.
008
Causality and ML-2
Key terms: adjusting, backdoor and frontdoor paths, colliders, and the causal roles of variables.
009
Causality and ML-1
Why randomised trials are not enough, and causal inference as their generalisation.
004
Causal Generative Modeling
A short introduction to incorporating causality in generative modeling.
03 — Misc-Tech
014
pwnable.kr - random
Security · Solving the random challenge from Toddler's Bottle.
013
Fail2Ban
Infrastructure · Blocking repeated unauthorised connection attempts on a server.
012
GCP Backups
Infrastructure · Imaging a running server and handling disk encryption keys on GCP.
011
Hodge Laplacian Operator
Graph & Geometry · Simplices, boundary operators, and generalising the graph Laplacian.
007
Graph Isomorphism in GNNs
Graph & Geometry · Canonisation, the Weisfeiler-Lehman test, and the expressive power of GNNs.
006
Market making with Avellaneda and Stoikov
Quant Finance · High-level intuition of market making, its goals, and the Avellaneda-Stoikov algorithm.
005
Expectation Maximization
Generative Modeling · A fundamental algorithm for parameter estimation in probabilistic models with latent variables.
002
Practical VAE
Generative Modeling · Practical considerations and challenges when working with variational auto-encoders.
001
Training CVAE
Generative Modeling · Techniques for training CVAEs on tabular data.