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Posts tagged “basics”

2 posts found

The Information Bottleneck Explained: What a Representation Is For
ai-tutorialsbasicsinformation-bottleneck

The Information Bottleneck Explained: What a Representation Is For

The information bottleneck for practitioners: what it means to keep only the bits that predict, why the binned compression phase in our experiment tracks the activation function rather than learning, why every information-plane number depends on its binning while the exact one for a finite input does not, and how the same equation — not the same explanation, and with β multiplying the opposite term — shows up in a VAE's collapsed latent.

Oct 16, 2026•67 min read
Information Theory Explained: Entropy, Cross-Entropy, and the Loss You Already Use
ai-tutorialsbasicsinformation-theory

Information Theory Explained: Entropy, Cross-Entropy, and the Loss You Already Use

Information theory for practitioners who need it for machine learning: what a bit actually measures, why minimising cross-entropy is minimising KL divergence, the floor label smoothing installs under your loss (and which smoothing convention your framework uses), and why a mutual-information estimate is a measurement with a sign that depends on the regime, not a number.

Oct 15, 2026•52 min read
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