Almost-Sure Termination by Guarded Refinement
<|reference_start|>Almost-Sure Termination by Guarded Refinement: Almost-sure termination is an important correctness property for probabilistic programs, and a number of program logics have been developed for establishing it. However, these logics have mostly been developed for first-order programs written in languages with specific syntactic patterns for looping. In this paper, we consider almost-sure termination for higher-order probabilistic programs with general references. This combination of features allows for recursion and looping to be encoded through a variety of patterns. Therefore, rather than developing proof rules for reasoning about particular recursion patterns, we instead propose an approach based on proving refinement between a higher-order program and a simpler probabilistic model, in such a way that the refinement preserves termination behavior. By proving a refinement, almost-sure termination behavior of the program can then be established by analyzing the simpler model. We present this approach in the form of Caliper, a higher-order separation logic for proving termination-preserving refinements. Caliper uses probabilistic couplings to carry out relational reasoning between a program and a model. To handle the range of recursion patterns found in higher-order programs, Caliper uses guarded recursion, in particular the principle of L\"ob induction. A technical novelty is that Caliper does not require the use of transfinite step indexing or other technical restrictions found in prior work on guarded recursion for termination-preservation refinement. We demonstrate the flexibility of this approach by proving almost-sure termination of several examples, including first-order loop constructs, a random list generator, treaps, and a sampler for Galton-Watson trees that uses higher-order store. All the results have been mechanized in the Coq proof assistant.<|reference_end|>
@article{gregersen2024almost-sure,
    title={Almost-Sure Termination by Guarded Refinement},
    author={Simon Oddershede Gregersen, Alejandro Aguirre, Philipp G. Haselwarter,
  Joseph Tassarotti, Lars Birkedal},
    journal={arXiv preprint arXiv:2404.08494},
    year={2024},
    doi={10.1145/3674632},
    archivePrefix={arXiv},
    eprint={2404.08494},
    primaryClass={cs.LO cs.PL}
}