Data Compression - Machine Learning for Exponential Distribution

Question

Are there machine learning algorithms, prediction models that can help me compress exponentially distributed data? I already encoded the file using golomb codes, which definitely saves a lot of space, but that’s not enough - I need compression. PAQ8L does not compress it enough.

Ask for a file if necessary.

Exponentially distributed -

{a, b, b, a, a, b, c, c, a, a, b, a, a, b, a, c, b, a, b, d}

Answer 1

I do not think this is theoretically possible. Golomb code is already optimal for geometrically distributed data.

Answer 2

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