Fast and Accurate Randomized Algorithms for Low-rank Tensor
Decompositions

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Fast and Accurate Randomized Algorithms for Low-rank Tensor Decompositions

2 April 2021

Edgar Solomonik

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Papers citing "Fast and Accurate Randomized Algorithms for Low-rank Tensor Decompositions"

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Title
Matrix Compression via Randomized Low Rank and Low Precision Factorization R. Saha Varun Srivastava Mert Pilanci 85 23 0 17 Oct 2023
Solving Attention Kernel Regression Problem via Pre-conditioner Zhao Song Junze Yin Licheng Zhang 82 15 0 28 Aug 2023
Gradient Coding with Iterative Block Leverage Score Sampling Neophytos Charalambides Mert Pilanci Alfred Hero 57 2 0 06 Aug 2023
Nonconvex Robust High-Order Tensor Completion Using Randomized Low-Rank Approximation Wenjin Qin Hailin Wang Feng Zhang Weijun Ma Jianjun Wang Tingwen Huang 55 7 0 19 May 2023
Approximately Optimal Core Shapes for Tensor Decompositions Mehrdad Ghadiri Matthew Fahrbach Gang Fu Vahab Mirrokni 69 8 0 08 Feb 2023
Towards Efficient and Accurate Approximation: Tensor Decomposition Based on Randomized Block Krylov Iteration Y. Qiu Weijun Sun Guoxu Zhou Qianchuan Zhao 121 4 0 27 Nov 2022
Subquadratic Kronecker Regression with Applications to Tensor Decomposition Matthew Fahrbach Thomas Fu Mehrdad Ghadiri 98 15 0 11 Sep 2022
Cost-efficient Gaussian Tensor Network Embeddings for Tensor-structured Inputs Linjian Ma Edgar Solomonik 92 7 0 26 May 2022
Enabling All In-Edge Deep Learning: A Literature Review Praveen Joshi Mohammed Hasanuzzaman Chandra Thapa Haithem Afli T. Scully 100 24 0 07 Apr 2022
A rank-adaptive higher-order orthogonal iteration algorithm for truncated Tucker decomposition Chuanfu Xiao Chao Yang 42 5 0 25 Oct 2021
ATD: Augmenting CP Tensor Decomposition by Self Supervision Chaoqi Yang Cheng Qian Navjot Singh Cao Xiao M. P. M. Brandon Westover Edgar Solomonik Jimeng Sun ViT 59 8 0 15 Jun 2021