Tag
maximum-likelihood
- Dec 8, 2025 Expectation-Maximization as Inference with Latent Variables Why the log outside a sum over hidden variables blocks direct maximization, how an exact E step makes a lower bound tight enough to guarantee progress, and where the fixed points end up. machine learning
- May 8, 2023 Logistic Regression as Conditional Bernoulli Likelihood How the sigmoid falls out of a log-odds parameterisation, why the negative log-likelihood is convex and unbounded in the separable case, and what the gradient actually computes. machine learning