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Guaranteed Bounds on Posterior Distributions of Discrete Probabilistic Programs with Loops

Talkat POPL 2025 · 2025-01-19..01-25
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Automated tool Diabolo implements two provable methods: residual mass semantics (fast unrolling upper/lower bounds) and geometric bound semantics (contraction invariants over eventually geometric distributions). Paper proves soundness and convergence; geometric bounds reduce to decidable polynomial inequalities. On 43 benchmarks Diabolo finds geometric bounds for 37 (85%), typically in seconds and up to 5 minutes. Example: conditional die problem has exact expectation 1.5 and Diabolo produces a tight bound quickly and recovers tail decay ≈1/3 (found 0.34).

AI-written summary · about

  1. 0:00Introduction
  2. 1:29Challenges in loops
  3. 3:15Language and semantics
  4. 5:24Loop semantics
  5. 6:48Residual mass bounds
  6. 8:13Geometric bounds
  7. 10:00Eventually geometric distributions
  8. 11:26Relational upper bounds
  9. 13:07Example evaluation
  10. 14:10Benchmark results
  11. 15:13Summary
  12. 15:42Q&A
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