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A modal type-theory of expected cost in higher-order probabilistic programs

Talkat OOPSLA 2024 · 2024-10-20..10-25· [machine-learning]
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pλ-amor is a graded modal type theory that encodes probabilities, potentials and expected cost at the type level and proves bounds for higher-order probabilistic recursion. It gives RWM a type that records a logarithmic expected-mistake bound (log Σ_t / η) using a potential modality, implements cost as a PC monad with a tick construct, uses probabilistic couplings to avoid convolution, and proves soundness via a Kripke step-indexed model relating static potentials and runtime distributions.

AI-written summary · about

  1. 0:00Expected cost analysis intro
  2. 1:28Experts problem algorithm
  3. 3:57Potential functions for bounds
  4. 6:27PλMR type theory
  5. 7:31Graded modalities in PλMR
  6. 9:38Cost modeling with tick
  7. 11:26Probabilistic couplings
  8. 13:14Potential modality operations
  9. 15:21Relating cost and potential
  10. 16:47Semantic model and soundness
  11. 17:52Additional modalities examples
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