January 15, 2025
CTW Experimental Results: Theory Meets Practice
Validating Context Tree Weighting through experiments, including a bug that changed everything.
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Validating Context Tree Weighting through experiments, including a bug that changed everything.
The evolution of neural sequence prediction, and how it connects to classical methods
The bias-data trade-off in sequential prediction: when to use CTW, n-grams, or neural language models.
The classical approach to sequence prediction: counting and smoothing
Markov processes and tree sources: understanding where sequences come from
Model averaging over hypotheses, the principled way to handle uncertainty in prediction
The optimal predictor is incomputable. What we can learn from it anyway.
The problem of predicting what comes next, from compression to language models