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Near Optimal Sketching of Low-Rank Tensor Regression

Near Optimal Sketching of Low-Rank Tensor Regression

20 September 2017
Jarvis D. Haupt
Xingguo Li
David P. Woodruff
ArXivPDFHTML

Papers citing "Near Optimal Sketching of Low-Rank Tensor Regression"

11 / 11 papers shown
Title
Fast Heavy Inner Product Identification Between Weights and Inputs in
  Neural Network Training
Fast Heavy Inner Product Identification Between Weights and Inputs in Neural Network Training
Lianke Qin
Saayan Mitra
Zhao-quan Song
Yuanyuan Yang
Tianyi Zhou
27
0
0
19 Nov 2023
Efficient SGD Neural Network Training via Sublinear Activated Neuron
  Identification
Efficient SGD Neural Network Training via Sublinear Activated Neuron Identification
Lianke Qin
Zhao-quan Song
Yuanyuan Yang
22
9
0
13 Jul 2023
A Nearly-Optimal Bound for Fast Regression with $\ell_\infty$ Guarantee
A Nearly-Optimal Bound for Fast Regression with ℓ∞\ell_\inftyℓ∞​ Guarantee
Zhao-quan Song
Mingquan Ye
Junze Yin
Licheng Zhang
14
10
0
01 Feb 2023
Dynamic Tensor Product Regression
Dynamic Tensor Product Regression
Aravind Reddy
Zhao-quan Song
Licheng Zhang
37
20
0
08 Oct 2022
Fast Sketching of Polynomial Kernels of Polynomial Degree
Fast Sketching of Polynomial Kernels of Polynomial Degree
Zhao-quan Song
David P. Woodruff
Zheng Yu
Lichen Zhang
6
40
0
21 Aug 2021
SliceNStitch: Continuous CP Decomposition of Sparse Tensor Streams
SliceNStitch: Continuous CP Decomposition of Sparse Tensor Streams
Taehyung Kwon
Inkyu Park
Dongjin Lee
Kijung Shin
AI4TS
12
12
0
23 Feb 2021
Multiresolution Tensor Learning for Efficient and Interpretable Spatial
  Analysis
Multiresolution Tensor Learning for Efficient and Interpretable Spatial Analysis
Jung Yeon Park
K. T. Carr
Stephan Zhang
Yisong Yue
Rose Yu
30
14
0
13 Feb 2020
On Recoverability of Randomly Compressed Tensors with Low CP Rank
On Recoverability of Randomly Compressed Tensors with Low CP Rank
Shahana Ibrahim
Xiao Fu
Xingguo Li
16
4
0
08 Jan 2020
ISLET: Fast and Optimal Low-rank Tensor Regression via Importance
  Sketching
ISLET: Fast and Optimal Low-rank Tensor Regression via Importance Sketching
Anru R. Zhang
Yuetian Luo
Garvesh Raskutti
M. Yuan
25
44
0
09 Nov 2019
Optimal Sketching for Kronecker Product Regression and Low Rank
  Approximation
Optimal Sketching for Kronecker Product Regression and Low Rank Approximation
H. Diao
Rajesh Jayaram
Zhao-quan Song
Wen Sun
David P. Woodruff
11
43
0
29 Sep 2019
Tensor Decomposition for Signal Processing and Machine Learning
Tensor Decomposition for Signal Processing and Machine Learning
N. Sidiropoulos
L. De Lathauwer
Xiao Fu
Kejun Huang
Evangelos E. Papalexakis
Christos Faloutsos
105
1,342
0
06 Jul 2016
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