Rejection sampling achieves the functional information lower bound for relative entropy coding within log e bits, providing the tightest known one-shot bounds.
Rejection-sampled linear codes for lossy compres- sion and channel simulation
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Rejection Sampling is Optimal for Relative Entropy Coding
Rejection sampling achieves the functional information lower bound for relative entropy coding within log e bits, providing the tightest known one-shot bounds.