
Adam
 Referenced in 453 articles
[sw22205]
 Adam: A Method for Stochastic Optimization. We introduce Adam, an algorithm for firstorder gradient ... based optimization of stochastic objective functions, based on adaptive estimates of lowerorder moments ... practice and compares favorably to other stochastic optimization methods. Finally, we discuss AdaMax, a variant...

LINDO
 Referenced in 546 articles
[sw04448]
 Software: Integer Programming, Linear Programming, Nonlinear Programming, Stochastic Programming, Global Optimization LINDO Application Programming Interface...

XPPAUT
 Referenced in 430 articles
[sw05543]
 other useful routines. Differential equations, maps, stochastic systems, delay equations, integral equations, and other systems...

LINGO
 Referenced in 305 articles
[sw04942]
 nonconvex/Global), Quadratic, Quadratically Constrained, Second Order Cone, Stochastic, and Integer optimization models faster, easier...

gss
 Referenced in 282 articles
[sw06099]
 spline ANOVA models Nonparametric function estimation with stochastic data, otherwise known as smoothing, has been...

SUTIL
 Referenced in 139 articles
[sw12322]
 SUTIL  A Stochastic Programming Utility Library. SUTIL is a C and C++ library to help ... users build and manipulate stochastic programs...

MSLiP
 Referenced in 109 articles
[sw01410]
 MSLiP: A computer code for the multistage stochastic linear programming problem This paper describes ... nested decomposition algorithm for the multistage stochastic linear programming problem. Many of the computational tricks ... deterministic staircase problems are adapted to the stochastic setting and their effect on computation times...

AdaGrad
 Referenced in 124 articles
[sw22202]
 Adaptive subgradient methods for online learning and stochastic optimization. We present a new family ... paradigm stems from recent advances in stochastic optimization and online learning which employ proximal functions...

CMAES
 Referenced in 109 articles
[sw05063]
 Adaptation Evolution Strategy. Evolution strategies (ES) are stochastic, derivativefree methods for numerical optimization ... generated by variation, usually in a stochastic way, and then some individuals are selected...

MCQueue
 Referenced in 140 articles
[sw05198]
 book H.C. Tijms, A First Course in Stochastic Models, Wiley...

Pegasos
 Referenced in 98 articles
[sw08752]
 describe and analyze a simple and effective stochastic subgradient descent algorithm for solving ... training example. In contrast, previous analyses of stochastic gradient descent methods for SVMs require...

PEPA
 Referenced in 116 articles
[sw10692]
 model checking properties in the Continuous Stochastic Logic (CSL). Download the PEPA Eclipse Plug...

STABLE
 Referenced in 108 articles
[sw04843]
 distribution functions”, J. P. Nolan, Commun. Statist.Stochastic Models, 13(4), 759774 (1997). Also...

tSNE
 Referenced in 100 articles
[sw22300]
 technique is a variation of Stochastic Neighbor Embedding (Hinton and Roweis, 2002) that is much...

bvarsv
 Referenced in 90 articles
[sw11023]
 Analysis of a Vector Autoregressive Model with Stochastic Volatility and TimeVarying Parameters. R/C++ implementation...

HOGWILD
 Referenced in 59 articles
[sw28396]
 HOGWILD!: A LockFree Approach to Parallelizing Stochastic Gradient Descent. Stochastic Gradient Descent...

GreatSPN
 Referenced in 57 articles
[sw00384]
 performance evaluation of distributed systems using Generalized Stochastic Petri Nets and their colored extension: Stochastic...

ASA
 Referenced in 77 articles
[sw04736]
 robust tuning over many classes of nonlinear stochastic systems...

HdBCS
 Referenced in 77 articles
[sw29884]
 code software implementing a an efficient stochastic search algorithm for for exploring spaces of Gaussian...

SPNP
 Referenced in 48 articles
[sw07933]
 SPNP: Stochastic Petri Nets. The Stochastic Petri Net Package (SPNP) [2] is a versatile modeling ... tool for solution of Stochastic Petri Net (SPN) models. The SPN models are described...