• DGM

• Referenced in 185 articles [sw39282]
• network is trained on batches of randomly sampled time and space points. The algorithm...

• RSVM

• Referenced in 55 articles [sw15261]
• conventional SVM using a small random sample of the data. Computational times, as well...

• Blendenpik

• Referenced in 45 articles [sw09210]
• least-squares solver. Several innovative random-sampling and random-mixing techniques for solving problems...

• TOMS659

• Referenced in 144 articles [sw10686]
• Hammersley, Niederreiter or Sobol sequences, is ”less random” than a pseudorandom number sequence, but more ... discrepancy sequences tend to sample space ”more uniformly” than random numbers. Algorithms that use such...

• STRUMPACK

• Referenced in 46 articles [sw17483]
• using low-rank structured factorization with randomized sampling. At the moment STRUMPACK uses Hierarchically Semi...

• pSuc-Lys

• Referenced in 31 articles [sw16643]
• balancing out skewed training dataset by random sampling, and (3) constructing an ensemble predictor...

• wbs

• Referenced in 94 articles [sw11110]
• infinity with the sample size. Due to a certain random localisation mechanism, WBS works even...

• GUI-HDMR

• Referenced in 23 articles [sw07924]
• input values can be any Monte Carlo sample (if the input parameters can be controlled ... controlled, then a quasi-random sampling method is preferable. This guarantees that the input space ... covered more uniformly than by using random values and it provides a better convergence rate...

• Emmixuskew

• Referenced in 24 articles [sw16349]
• multivariate skew t (FM-uMST) model, random sample generation, discriminant analysis, 2D and 3D contour...

• TestU01

• Referenced in 124 articles [sw08033]
• class of random number generators, to determine how large should be the sample size...

• Hyperband

• Referenced in 20 articles [sw41120]
• select configurations, we focus on speeding up random search through adaptive resource allocation and early ... samples, or features is allocated to randomly sampled configurations. We introduce a novel algorithm, Hyperband...

• kappa_SQ

• Referenced in 11 articles [sw17877]
• kappa_SQ: A Matlab package for randomized sampling of matrices with orthonormal columns. The kappa ... designed to assist researchers working on randomized row sampling. The package contains a collection...

• HLM

• Referenced in 44 articles [sw06516]
• also predicts the random effects associated with each sampling unit at every level. While commonly...

• SmallCheck

• Referenced in 19 articles [sw09736]
• found. But instead of using a sample of randomly generated values they test properties...

• mnormt

• Referenced in 18 articles [sw04564]
• multivariate ”t” variates, and for generating random vectors sampled from these distributions. Probabilities are computed...

• Mcmcpack

• Referenced in 63 articles [sw07974]
• pseudo-random number generators for statistical distributions, a general purpose Metropolis sampling algorithm, and tools...

• BartPy

• Referenced in 99 articles [sw40584]
• iterative Bayesian backfitting MCMC algorithm that generates samples from a posterior. Effectively, BART ... Bayesian regression approach which uses dimensionally adaptive random basis elements. Motivated by ensemble methods...

• QUIC

• Referenced in 34 articles [sw11795]
• Gaussian Markov Random Field, from very limited samples. We propose a novel algorithm for solving...

• rhalton

• Referenced in 35 articles [sw20515]
• Halton algorithm in R. Randomized quasi-Monte Carlo (RQMC) sampling can bring orders of magnitude...

• fdapace

• Referenced in 8 articles [sw15968]
• data analysis, for sparsely or densely sampled random trajectories and time courses, via the Principal ... generated by a sample of underlying (but usually not fully observed) random trajectories. It does ... problematic if functional data are sparsely sampled. PACE provides options for functional regression and correlation...