
BNT
 Referenced in 71 articles
[sw07384]
 nodes (probability distributions), exact and approximate inference, parameter and structure learning, and static and dynamic...

RStan
 Referenced in 58 articles
[sw13990]
 Chain Monte Carlo, rough Bayesian inference via variational approximation, and (optionally penalized) maximum likelihood estimation...

LibDAI
 Referenced in 15 articles
[sw06422]
 open source C++ library for discrete approximate inference in graphical models This paper describes ... provides implementations of various exact and approximate inference methods for graphical models with discretevalued ... fields and factor graphs). It offers various approximations of the partition sum, marginal probability distributions ... other open source software packages for approximate inference is given. libDAI is licensed under...

ADVI
 Referenced in 26 articles
[sw34040]
 inference is a scalable technique for approximate Bayesian inference. Deriving variational inference algorithms requires tedious...

trueskill
 Referenced in 24 articles
[sw12352]
 Bayesian skill rating system with inference by approximate message passing on a factor graph. Used...

rstan
 Referenced in 28 articles
[sw16103]
 Chain Monte Carlo, rough Bayesian inference via variational approximation, and (optionally penalized) maximum likelihood estimation...

PILCO
 Referenced in 20 articles
[sw34813]
 probabilistic modeling of the dynamics and approximate Bayesian inference for policy evaluation and improvement...

abcrf
 Referenced in 12 articles
[sw21308]
 random forests for Bayesian parameter inference. Approximate Bayesian computation (ABC) has grown into a standard...

GPstuff
 Referenced in 23 articles
[sw12867]
 tools include, among others, various inference methods, sparse approximations and model assessment methods. The GPstuff...

BayesLogit
 Referenced in 44 articles
[sw09312]
 methods for posterior inference that (1) circumvent the need for analytic approximations, numerical integration...

MCINTYRE
 Referenced in 8 articles
[sw22925]
 concentrate on the problem of approximate inference in probabilistic logic programming languages based ... distribution semantics. A successful approximate approach is based on Monte Carlo sampling, that consists ... propose an approach for Monte Carlo inference that is based on a program transformation that...

TrueSkill
 Referenced in 21 articles
[sw21717]
 individual skills from team results. Inference is performed by approximate message passing on a factor...

Perracotta
 Referenced in 7 articles
[sw12087]
 introduce solutions that enable a dynamic inference technique to scale to large programs and work ... industrial scenarios. We describe our approximate inference algorithm, present and evaluate heuristics for winnowing...

FastInf
 Referenced in 4 articles
[sw06423]
 FastInf: an efficient approximate inference library The FastInf C++ library is designed to perform memory ... time efficient approximate inference in largescale discrete undirected graphical models. The focus ... library is propagation based approximate inference methods, ranging from the basic loopy belief propagation algorithm...

ProbLog
 Referenced in 85 articles
[sw06945]
 given query, either exactly or using various approximate methods. ProbLog1 also supports parameter learning ... interpretations setting. ProbLog1 also supports decisiontheoretic inference. ProbLog2 allows the user to compute marginal...

CTBNRLE
 Referenced in 5 articles
[sw12961]
 inference and Gibbs and importance sampling approximate inference for any type of evidence pattern. Additionally...

GPyTorch
 Referenced in 8 articles
[sw35483]
 inference from O(n3) to O(n2). Adapting this algorithm to scalable approximations and complex ... dramatically accelerate both exact GP inference and scalable approximations. Additionally, we provide GPyTorch, a software...

GPflow
 Referenced in 14 articles
[sw21518]
 that it uses variational inference as the primary approximation method, provides concise code through...

FastTree
 Referenced in 7 articles
[sw28979]
 instead of a Distance Matrix. FastTree infers approximatelymaximumlikelihood phylogenetic trees from alignments...

epiABC
 Referenced in 9 articles
[sw23334]
 stochastic epidemic models using approximate Bayesian computation. Likelihoodbased inference for disease outbreak data ... incomplete. In this paper we review recent Approximate Bayesian Computation (ABC) methods for the analysis...