Accelerating Asymptotically Exact MCMC for Computationally Intensive Models via Local Approximations

来源 :第八届工业与应用数学国际大会 | 被引量 : 0次 | 上传用户:sb129
下载到本地 , 更方便阅读
声明 : 本文档内容版权归属内容提供方 , 如果您对本文有版权争议 , 可与客服联系进行内容授权或下架
论文部分内容阅读
  We introduce a new framework for accelerating posterior sampling with computationally-intensive models.
其他文献
  The minisymposium intends to bring together leading experts working on inverse scattering problems and their applications to discuss recent advances and new
会议
  This talk is concerned about the inverse problem of recovering the refractive index in inverse scattering by unbounded periodic media.
会议
  In this presentation I am planning to talk about incremental learning,but not finalized yet.
会议
  Healthcare is a field that closely related to everyone's daily life.Data driven healthcare is believed to be one of the most promising trend to transform he
会议
  Entity knowledge bases are very useful in building semantic search and deep Q/A systems.
会议
  In machine and data mining,optimization is a very important problem.In this talk,we introduce optimization problems in machine learning,and describe three n
会议
  We are in the era of big data.Data is everywhere,in every application,from healthcare to climate.
会议
  The state of a system described by shallow-water equations was estimated using Discontinuous-Galerkin(DG)methods and a mimimax estimator.
会议
  In this paper,we present usability analyses of different generalized utility's models.
会议
  Deterministic ODE and PDE solvers are widely used,but characterizing the error in numerical solutions within a coherent statistical framework is challenging
会议