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SGD_Tucker: A Novel Stochastic Optimization Strategy for Parallel Sparse
  Tucker Decomposition
v1v2 (latest)

SGD_Tucker: A Novel Stochastic Optimization Strategy for Parallel Sparse Tucker Decomposition

7 December 2020
Hao Li
Zixuan Li
KenLi Li
Jan S. Rellermeyer
L. Chen
Keqin Li
ArXiv (abs)PDFHTML

Papers citing "SGD_Tucker: A Novel Stochastic Optimization Strategy for Parallel Sparse Tucker Decomposition"

2 / 2 papers shown
Locality Sensitive Hash Aggregated Nonlinear Neighbourhood Matrix
  Factorization for Online Sparse Big Data Analysis
Locality Sensitive Hash Aggregated Nonlinear Neighbourhood Matrix Factorization for Online Sparse Big Data Analysis
Zixuan Li
Hao Li
KenLi Li
Fan Wu
L. Chen
Keqin Li
348
0
0
23 Nov 2021
Fast and Accurate Randomized Algorithms for Low-rank Tensor
  Decompositions
Fast and Accurate Randomized Algorithms for Low-rank Tensor DecompositionsNeural Information Processing Systems (NeurIPS), 2021
Linjian Ma
Edgar Solomonik
349
33
0
02 Apr 2021
1
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