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Probabilistic Programming

Probabilistic programming languages are designed to describe probabilistic models and then perform inference in those models. PPLs are closely related to graphical models and Bayesian networks, but are more expressive and flexible.

( Image credit: Michael Betancourt )

Papers

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Showing 226–250 of 273 papers

TitleStatusHype
Probabilistic Data Analysis with Probabilistic ProgrammingCode0
Practical optimal experiment design with probabilistic programs—0
TerpreT: A Probabilistic Programming Language for Program Induction—0
Automatic Generation of Probabilistic Programming from Time Series Data—0
Swift: Compiled Inference for Probabilistic Programming Languages—0
Spreadsheet Probabilistic Programming—0
Structured Factored Inference: A Framework for Automated Reasoning in Probabilistic Programming Languages—0
Measuring the reliability of MCMC inference with bidirectional Monte Carlo—0
The Physics of Text: Ontological Realism in Information Extraction—0
Applications of Probabilistic Programming (Master's thesis, 2015)—0
A Step from Probabilistic Programming to Cognitive Architectures—0
Dataflow Matrix Machines as a Generalization of Recurrent Neural NetworksCode0
Composing inference algorithms as program transformations—0
A theory of contemplation—0
Bachelor's thesis on generative probabilistic programming (in Russian language, June 2014)—0
Semantics for probabilistic programming: higher-order functions, continuous distributions, and soft constraints—0
Probabilistic Programming with Gaussian Process Memoization—0
BayesDB: A probabilistic programming system for querying the probable implications of data—0
Linear Models of Computation and Program Learning—0
Data-driven Sequential Monte Carlo in Probabilistic Programming—0
Lazy Factored Inference for Functional Probabilistic Programming—0
C3: Lightweight Incrementalized MCMC for Probabilistic Programs using Continuations and Callsite Caching—0
RELLY: Inferring Hypernym Relationships Between Relational Phrases—0
A New Approach to Probabilistic Programming Inference—0
Automatic Variational Inference in Stan—0
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