• ADVI

  • Referenced in 23 articles [sw34040]
  • Variational Inference in Stan. Variational inference is a scalable technique for approximate Bayesian inference. Deriving...
  • GPyTorch

  • Referenced in 3 articles [sw35483]
  • Acceleration. Despite advances in scalable models, the inference tools used for Gaussian processes (GPs) have ... 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 ... platform for scalable GP inference via BBMM, built on PyTorch...
  • Tuffy

  • Referenced in 10 articles [sw28901]
  • techniques, Tuffy is an MLN inference engine that achieves scalability and orders of magnitude speedup...
  • Scala

  • Referenced in 85 articles [sw07180]
  • Scala is a highly expressive, concise and scalable language. It is also the most prominent ... power of static typing and automatic type inference. In addition, the book shows...
  • Venture

  • Referenced in 8 articles [sw14670]
  • compositional language for custom inference strategies built out of scalable exact and approximate techniques ... also supports external models that do inference over latent variables hidden from Venture. Second...
  • crowdGPPL

  • Referenced in 1 article [sw34403]
  • preference learning for crowds. We propose a scalable Bayesian preference learning method for jointly predicting ... Individual biases also make it harder to infer the consensus of a crowd when there ... pairwise labels, we propose a stochastic variational inference approach that limits computational and memory costs ... competitive with previous approaches despite our scalable inference approximation. We demonstrate the method’s scalability...
  • ProPPR

  • Referenced in 1 article [sw32915]
  • structure discovery, parameter learning, and scalable inference. A key challenge in statistical relational learning ... extracted information. This paper presents a new, scalable probabilistic logic called ProPPR, which further extends ... framework that enables efficient learning and inference on graphs: using an abductive second-order probabilistic...
  • GroupBox

  • Referenced in 1 article [sw32644]
  • between individual and group contexts. Efficient scalable inference algorithms are used for GroupBox, which makes...
  • glm-ie

  • Referenced in 2 articles [sw13249]
  • factorial mean field. Scalable and efficient inference in fully-connected undirected graphical models or Markov...
  • ExplainHoudini

  • Referenced in 2 articles [sw19491]
  • Houdini is a simple yet scalable technique for annotation inference for modular contract checking...
  • Sockeye

  • Referenced in 2 articles [sw26584]
  • MXNet, the toolkit offers scalable training and inference for the three most prominent encoder-decoder...
  • CloudPhylo

  • Referenced in 2 articles [sw22014]
  • achieving high efficiency and good scalability on phylogenetic tree inference. Availability and Implementation:https://github.com...
  • varbvs

  • Referenced in 1 article [sw21809]
  • variational approximations described in ”Scalable variational inference for Bayesian variable selection in regression...
  • OMA

  • Referenced in 2 articles [sw34207]
  • asymmetric evolutionary rates and more scalable hierarchical orthologous group inference. Results: We present improvements ... algorithm: (i) refining the pairwise orthology inference step to account for same-species paralogs evolving ... sequences. In addition we introduce a more scalable procedure for hierarchical orthologous group (HOG) clustering...
  • AMIDST

  • Referenced in 5 articles [sw21741]
  • approach compares favorably to stochastic variational inference and streaming variational Bayes, two of the main ... scaling up variational methods. For the scalability analysis, we evaluate our approach over a network...
  • RAxML-Light

  • Referenced in 2 articles [sw29595]
  • Light, a tool for large-scale phylogenetic inference on supercomputers under maximum likelihood. It implements ... function. To demonstrate scalability and robustness of the code, we inferred a phylogeny...
  • 2SNP

  • Referenced in 1 article [sw17193]
  • implements a new very fast scalable algorithm for haplotype inference based on genotype statistics collected...
  • WebPIE

  • Referenced in 6 articles [sw12482]
  • WebPIE: a Web-scale parallel inference engine using MapReduce. The large amount of Semantic ... significant computational challenge in performing efficient and scalable reasoning. On a large scale, the resources ... performance. We have implemented WebPIE (Web-scale Inference Engine) and we demonstrate its performance...
  • celerite

  • Referenced in 2 articles [sw29785]
  • Python, and Julia. celerite provides fast and scalable Gaussian Process (GP) Regression in one dimension ... alongside a non-linear optimization or posterior inference library for the best results...
  • vSMC

  • Referenced in 4 articles [sw19386]
  • have established their application in more general inference problems such as Bayesian modeling. These algorithms ... recent years as they admit natural and scalable parallelizations. However, these algorithms are perceived...