
RStan
 Referenced in 57 articles
[sw13990]
 Monte Carlo, rough Bayesian inference via variational approximation, and (optionally penalized) maximum likelihood estimation...

rstan
 Referenced in 27 articles
[sw16103]
 Monte Carlo, rough Bayesian inference via variational approximation, and (optionally penalized) maximum likelihood estimation...

UFL
 Referenced in 56 articles
[sw11183]
 view to numerical approximation. Features of UFL include support for variational forms and functionals, automatic...

ADVI
 Referenced in 24 articles
[sw34040]
 scalable technique for approximate Bayesian inference. Deriving variational inference algorithms requires tedious modelspecific calculations...

JIVE
 Referenced in 12 articles
[sw09511]
 Variation Explained (JIVE), a general decomposition of variation for the integrated analysis of such data ... three terms: a lowrank approximation capturing joint variation across data types, lowrank approximations...

COBRA
 Referenced in 26 articles
[sw02211]
 COBRA, this approximate eigenvalue is further refined using a variational principle to obtain fourthorder...

BayesLCA
 Referenced in 8 articles
[sw16118]
 maximization algorithm, Gibbs sampling and a variational Bayes approximation. The article briefly outlines the methodology...

Breach
 Referenced in 20 articles
[sw20822]
 respect to parameters variation. The latter is used to perform approximate reachability analysis and parameter...

GPflow
 Referenced in 12 articles
[sw21518]
 that it uses variational inference as the primary approximation method, provides concise code through...

PMTBR
 Referenced in 17 articles
[sw02086]
 intermediate between frequency domain projection methods and approximation of truncated balanced realizations. The methods discussed ... presence of parameter change due to process variation...

Algorithm 840
 Referenced in 24 articles
[sw04463]
 variations of the $x_j$ and $w_j$ with $c$ are wellapproximated...

VFGEN
 Referenced in 14 articles
[sw00995]
 field with its variational equation, converting delay equations to finite dimensional approximations, and for generating...

CMAES
 Referenced in 106 articles
[sw05063]
 solutions, denoted as x) are generated by variation, usually in a stochastic way, and then ... underlying objective function similar to the approximation of the inverse Hessian matrix in the Quasi...

zoverw
 Referenced in 8 articles
[sw25940]
 ratio z/w for any two jointly normal variates z,w, and provides details on methods ... practical considerations suggest there should be approximations whose adequacy can be verified by means ... software. These approximations show that many of the ratios of normal variates encountered in practice ... ratio (a+x)/(b+y) is itself approximately normally distributed with mean...

varbvs
 Referenced in 1 article
[sw21809]
 algorithms are based on the variational approximations described in ”Scalable variational inference for Bayesian variable...

MAP
 Referenced in 6 articles
[sw11471]
 conservative equations. The total variation diminishing (TVD) limiters and approximate Riemann solvers are also equipped...

ProSper
 Referenced in 1 article
[sw30605]
 data, and they provide rich aposteriori approximations for inference. The library is designed ... scalable due to a combination of variational approximations and parallelization. Implementations of all algorithms allow...

DSPCA
 Referenced in 35 articles
[sw04804]
 examine the problem of approximating, in the Frobeniusnorm sense, a positive, semidefinite symmetric matrix ... modification of the classical variational representation of the largest eigenvalue of a symmetric matrix, where...

VBLPCM
 Referenced in 1 article
[sw18753]
 network data, using a fast Variational Bayes approximation...

vbmp
 Referenced in 2 articles
[sw35354]
 class membership posterior probability employing variational and sparse approximation to the full posterior. This software...