45 citations · 54 across the 5 of their papers we have counts for
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Lossless Compression with Latent Variable Models
James Townsend
We develop a simple and elegant method for lossless compression using latent variable models, which we call 'bits back with asymmetric numeral systems' (BB-ANS). The method involve…
Lossless compression with state space models using bits back coding
James Townsend, Iain Murray
We generalize the 'bits back with ANS' method to time-series models with a latent Markov structure. This family of models includes hidden Markov models (HMMs), linear Gaussian stat…
Improving Lossless Compression Rates via Monte Carlo Bits-Back Coding
Yangjun Ruan, Karen Ullrich, Daniel Severo +5
Latent variable models have been successfully applied in lossless compression with the bits-back coding algorithm. However, bits-back suffers from an increase in the bitrate equal…
Practical Lossless Compression with Latent Variables using Bits Back Coding
James Townsend, Tom Bird, David Barber
Deep latent variable models have seen recent success in many data domains. Lossless compression is an application of these models which, despite having the potential to be highly u…
The VC-Dimension of Similarity Hypotheses Spaces
Mark Herbster, Paul Rubenstein, James Townsend
Given a set and a function which labels each element of with either or , we may define a function to measure the similarity of…