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Trace types and denotational semantics for sound programmable inference in probabilistic languages

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/978-3-030-17184-1_12openalex-snapshot
Probabilistic Programming Inference via Intensional Semantics
inferredcites →https://doi.org/10.1007/978-3-319-29604-3_5openalex-snapshot
Probabilistic Inference by Program Transformation in Hakaru (System Description)
inferredcites →https://doi.org/10.1023/a:1020281327116openalex-snapshot
An Introduction to MCMC for Machine Learning
inferredcites →https://doi.org/10.1080/01621459.1998.10473765openalex-snapshot
Sequential Monte Carlo Methods for Dynamic Systems
inferredcites →https://doi.org/10.1090/s0273-0979-08-01238-xopenalex-snapshot
The Markov chain Monte Carlo revolution
inferredcites →https://doi.org/10.1093/biomet/82.4.711openalex-snapshot
Reversible Jump Markov Chain Monte Carlo Computation and Bayesian Model Determination
inferredcites →https://doi.org/10.1109/lics.2017.8005137openalex-snapshot
A convenient category for higher-order probability theory
inferredcites →https://doi.org/10.1109/tpami.2018.2889774openalex-snapshot
Advances in Variational Inference
inferredcites →https://doi.org/10.1111/1467-9574.00056openalex-snapshot
Conditioning as disintegration
inferredcites →https://doi.org/10.1145/2103656.2103721openalex-snapshot
A type theory for probability density functions
inferredcites →https://doi.org/10.1145/2804302.2804317openalex-snapshot
Practical probabilistic programming with monads
inferredcites →https://doi.org/10.1145/2933575.2935313openalex-snapshot
Semantics for probabilistic programming
inferredcites →https://doi.org/10.1145/3062341.3062375openalex-snapshot
Compiling Markov chain Monte Carlo algorithms for probabilistic modeling
inferredcites →https://doi.org/10.1145/3192366.3192409openalex-snapshot
Probabilistic programming with programmable inference
inferredcites →https://doi.org/10.1145/3211346.3211350openalex-snapshot
A design proposal for Gen: probabilistic programming with fast custom inference via code generation
inferredcites →https://doi.org/10.1145/3236778openalex-snapshot
Functional programming for modular Bayesian inference
inferredcites →https://doi.org/10.1145/3290351openalex-snapshot
Formal verification of higher-order probabilistic programs: reasoning about approximation, convergence, Bayesian inference, and optimization
inferredcites →https://doi.org/10.1145/3314221.3314642openalex-snapshot
Gen: a general-purpose probabilistic programming system with programmable inference
inferredcites →https://doi.org/10.1145/504729.504754openalex-snapshot
Probabilistic robotics
inferredcites →https://doi.org/10.1214/17-aap1326openalex-snapshot
The sample size required in importance sampling
inferredcites →https://doi.org/10.14288/1.0044249openalex-snapshot
A new approach to probabilistic programming inference
inferredcites →https://doi.org/10.17863/cam.42246openalex-snapshot
Turing: A language for flexible probabilistic inference
inferredcites →https://doi.org/10.18637/jss.v076.i01openalex-snapshot
Stan : A Probabilistic Programming Language
inferredcites →https://doi.org/10.4230/lipics.icdt.2016.7openalex-snapshot
Declarative Probabilistic Programming with Datalog
inferredcites →https://doi.org/10.4230/lipics.snapl.2019.1openalex-snapshot
Overparameterization: A Connection Between Software 1.0 and Software 2.0
inferredcites →https://doi.org/10.48550/arxiv.1006.0991openalex-snapshot
Variational Program Inference
inferredcites →https://doi.org/10.48550/arxiv.1206.3255openalex-snapshot
Church: a language for generative models
inferredcites →https://doi.org/10.48550/arxiv.1603.01882openalex-snapshot
Composing inference algorithms as program transformations
inferredcites →https://doi.org/10.48550/arxiv.1610.05735openalex-snapshot
Deep Amortized Inference for Probabilistic Programs
inferredcites →https://doi.org/10.48550/arxiv.1810.09538openalex-snapshot
Pyro: Deep Universal Probabilistic Programming
inferredcites →https://doi.org/10.48550/arxiv.1903.02482openalex-snapshot
LF-PPL: A Low-Level First Order Probabilistic Programming Language for Non-Differentiable Models

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.1007/978-3-030-44914-8_14openalex-snapshot
Continualization of Probabilistic Programs With Correction
inferred← citeshttps://doi.org/10.1007/978-3-030-72019-3_16openalex-snapshot
Densities of Almost Surely Terminating Probabilistic Programs are Differentiable Almost Everywhere
inferred← citeshttps://doi.org/10.1007/978-3-030-72019-3_19openalex-snapshot
Bayesian strategies: probabilistic programs as generalised graphical models
inferred← citeshttps://doi.org/10.1007/978-3-031-30044-8_18openalex-snapshot
Fast and Correct Gradient-Based Optimisation for Probabilistic Programming via Smoothing
inferred← citeshttps://doi.org/10.1109/access.2024.3467375openalex-snapshot
Approximate Computing: Concepts, Architectures, Challenges, Applications, and Future Directions
inferred← citeshttps://doi.org/10.1109/lics56636.2023.10175739openalex-snapshot
ωPAP Spaces: Reasoning Denotationally About Higher-Order, Recursive Probabilistic and Differentiable Programs
inferred← citeshttps://doi.org/10.1145/3408992openalex-snapshot
Raising expectations: automating expected cost analysis with types
inferred← citeshttps://doi.org/10.1145/3453483.3454077openalex-snapshot
Sound probabilistic inference via guide types
inferred← citeshttps://doi.org/10.1145/3453483.3454078openalex-snapshot
SPPL: probabilistic programming with fast exact symbolic inference
inferred← citeshttps://doi.org/10.1145/3453483.3454111openalex-snapshot
On probabilistic termination of functional programs with continuous distributions
inferred← citeshttps://doi.org/10.1145/3531130.3533370openalex-snapshot
Concrete categories and higher-order recursion
inferred← citeshttps://doi.org/10.1145/3547635openalex-snapshot
Modular probabilistic models via algebraic effects
inferred← citeshttps://doi.org/10.1145/3571198openalex-snapshot
ADEV: Sound Automatic Differentiation of Expected Values of Probabilistic Programs
inferred← citeshttps://doi.org/10.1145/3571205openalex-snapshot
Smoothness Analysis for Probabilistic Programs with Application to Optimised Variational Inference
inferred← citeshttps://doi.org/10.1145/3571243openalex-snapshot
Type-Preserving, Dependence-Aware Guide Generation for Sound, Effective Amortized Probabilistic Inference
inferred← citeshttps://doi.org/10.1145/3591290openalex-snapshot
Probabilistic Programming with Stochastic Probabilities
inferred← citeshttps://doi.org/10.1145/3656463openalex-snapshot
Probabilistic Programming with Programmable Variational Inference
inferred← citeshttps://doi.org/10.1145/3689748openalex-snapshot
Programmable MCMC with Soundly Composed Guide Programs
inferred← citeshttps://doi.org/10.1145/3704846openalex-snapshot
Inference Plans for Hybrid Particle Filtering
inferred← citeshttps://doi.org/10.1145/3704890openalex-snapshot
Compositional Imprecise Probability: A Solution from Graded Monads and Markov Categories
inferred← citeshttps://doi.org/10.1145/3776729openalex-snapshot
Probabilistic Programming with Vectorized Programmable Inference
inferred← citeshttps://doi.org/10.1145/3808321openalex-snapshot
GradInf: Gradient Estimation as Probabilistic Inference
inferred← citeshttps://doi.org/10.1145/3839533openalex-snapshot
Probabilistic Programming with Programmable Divide-Conquer-Combine Inference on Modern Hardware
inferred← citeshttps://doi.org/10.17760/d20560797openalex-snapshot
A mortized inference for structured deep generative models
inferred← citeshttps://doi.org/10.17760/d20618640openalex-snapshot
Towards compositional probabilistic programming
inferred← citeshttps://doi.org/10.48550/arxiv.2002.02702openalex-snapshot
DynamicPPL: Stan-like Speed for Dynamic Probabilistic Models
inferred← citeshttps://doi.org/10.48550/arxiv.2007.09871openalex-snapshot
Automating Involutive MCMC using Probabilistic and Differentiable Programming
inferred← citeshttps://doi.org/10.48550/arxiv.2007.11832openalex-snapshot
Probabilistic Analysis of Binary Sessions
inferred← citeshttps://doi.org/10.48550/arxiv.2103.00668openalex-snapshot
Learning Proposals for Probabilistic Programs with Inference Combinators
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