• rhalton

  • Referenced in 31 articles [sw20515]
  • sampling can bring orders of magnitude reduction in variance compared to plain Monte Carlo...
  • BIONJ

  • Referenced in 30 articles [sw08301]
  • simple first-order model of the variances and covariances of evolutionary distance estimates. This model ... admissible reductions, of the reduction which minimizes the variance of the new distance matrix ... conditions of evolution tested, the topological error reduction is on the average around 20%. With...
  • UNU.RAN

  • Referenced in 9 articles [sw09367]
  • distributions are made. random variates for variance reduction techniques are used. fast generators of predictable...
  • DECIS

  • Referenced in 4 articles [sw21978]
  • employing crude Monte Carlo without variance reduction techniques, or using as variance reduction techniques importance...
  • DSCOVR

  • Referenced in 5 articles [sw28397]
  • doubly stochastic coordinate optimization with variance reduction (DSCOVR). Compared with other first-order distributed algorithms...
  • Shift

  • Referenced in 4 articles [sw18322]
  • physics engines, hybrid capabilities for variance reduction methods such as the Consistent Adjoint-Driven Importance...
  • CYCLADES

  • Referenced in 3 articles [sw15227]
  • gains over asynchronous implementations of variance reduction algorithms...
  • getRDS

  • Referenced in 3 articles [sw12595]
  • queues compared to MT since its variance reduction is over 50 % in some cases...
  • ADVANTG

  • Referenced in 1 article [sw18292]
  • ADVANTG -- an automated variance reduction parameter generator. ation of variance reduction (VR) parameters for continuous ... desktop systems and clusters). The final variance reduction parameters are output in a format that...
  • VR-BFDT

  • Referenced in 1 article [sw22448]
  • BFDT: a variance reduction based binary fuzzy decision tree induction method for protein function prediction ... finally misclassification. In this paper, a variance reduction based binary fuzzy decision tree (VR-BFDT ... functional classes. It uses the label variance reduction as splitting criterion to select the best...
  • episode

  • Referenced in 2 articles [sw21808]
  • ordinary differential equations (ODE). Moreover, variance reduction and model selection can be obtained through various...
  • SCAFFOLD

  • Referenced in 2 articles [sw34100]
  • algorithm (SCAFFOLD) which uses control variates (variance reduction) to correct for the `client-drift...
  • SVR-AMA

  • Referenced in 1 article [sw29521]
  • asynchronous alternating minimization algorithm with variance reduction for model predictive control applications. This paper focuses ... state-of-the-art variance reduction (VR) scheme, previously used in the context of proximal...
  • getLHS

  • Referenced in 1 article [sw30278]
  • getRDS” and the proposed “getLHS” using variance reduction. In this paper, we propose a Latin ... well-known LHS method since its variance reduction factor is quite good in almost...
  • DIVONNE

  • Referenced in 1 article [sw36918]
  • divonne - Integration By Stratified Sampling For Variance Reduction. Divonne works by stratified sampling, where...
  • moko

  • Referenced in 1 article [sw32404]
  • multiobjective models), MVPF() (sequential minimizator using variance reduction), MEGO() (generalization of ParEgo) and HEGO() (minimizator...
  • RareMaxima

  • Referenced in 1 article [sw34881]
  • estimators for such probabilities, and describe variance reduction schemes applied to the proposed estimators...
  • LSMonteCarlo

  • Referenced in 1 article [sw36182]
  • American put. The pricing algorithms include variance reduction techniques such as Antithetic Variates and Control...
  • convexity

  • Referenced in 1 article [sw36571]
  • Monte Carlo simulation. We offer three variance reduction methods: change of measure, acceptance-rejection...
  • GraphSAINT

  • Referenced in 1 article [sw37758]
  • eliminate bias, and sampling algorithms for variance reduction. Importantly, we can decouple the sampling from...