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Low-Rank Approximation with $1/ε^{1/3}$ Matrix-Vector Products

Low-Rank Approximation with 1/ε1/31/ε^{1/3}1/ε1/3 Matrix-Vector Products

10 February 2022
Ainesh Bakshi
K. Clarkson
David P. Woodruff
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Papers citing "Low-Rank Approximation with $1/ε^{1/3}$ Matrix-Vector Products"

3 / 3 papers shown
Title
Krylov Methods are (nearly) Optimal for Low-Rank Approximation
Krylov Methods are (nearly) Optimal for Low-Rank Approximation
Ainesh Bakshi
Shyam Narayanan
31
6
0
06 Apr 2023
Query lower bounds for log-concave sampling
Query lower bounds for log-concave sampling
Sinho Chewi
Jaume de Dios Pont
Jerry Li
Chen Lu
Shyam Narayanan
35
8
0
05 Apr 2023
Towards Efficient and Accurate Approximation: Tensor Decomposition Based
  on Randomized Block Krylov Iteration
Towards Efficient and Accurate Approximation: Tensor Decomposition Based on Randomized Block Krylov Iteration
Y. Qiu
Weijun Sun
Guoxu Zhou
Qianchuan Zhao
45
3
0
27 Nov 2022
1