Adaptive-fiber Tensor-trains with Application to Bayesian Inference

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:toveyhzh
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  Tensor-train(TT)decompositions can enable dramatic compression of arrays arising from discretizations of high dimensional functions.In many applications,however,it is unclear how to specify the discretization level.We propose an extension to TT decomposition that yields virtual discretizationinvariance by taking advantage of additional structure(e.g.,smoothness,periodicity,along with derivative information)to adaptively approximate each tensor fiber.
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