Hugo Paquet
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- LAFI4 editions2022–2026
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| title | conference | date |
|---|---|---|
| Semantic Foundations for Laziness in Discrete Probabilistic Programming | LAFI 2026 | 2026-01-11 |
Claims that knowledge compilation and binary decision diagrams follow directly from a denotational semantics that splits sampling into two effects… | ||
| A slice sampler for the Indian Buffet Process: expressivity in nonparametric pro... | LAFI 2024 | 2024-01-14 |
Introduces a slice-sampling construction that encodes the Indian Buffet Process inside a pure probabilistic program without truncation or hidden state, by… | ||
| Random probability distributions as natural transformations | LAFI 2023 | 2023-01-15 |
Claim: homogeneous random distributions — where atom locations are independent of atom weights — bijectively correspond to natural transformations G -> GG for… | ||
| Affine Monads and Lazy Structures for Bayesian Programming | POPL 2023 | 2023-01-15 |
Argues that infinite-dimensional Bayesian models (Poisson, Gaussian, Dirichlet, Beta, jump processes) are naturally expressed with lazy streams and infinite… | ||
| Stateful processes in probabilistic programming | LAFI 2022 | 2022-01-16 |
Shows how Polya urn, Gaussian process and Indian Buffet Process implementations rely on explicit local state, stochastic memoization and countable duplication… | ||
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