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Krylov Methods are (nearly) Optimal for Low-Rank Approximation

Krylov Methods are (nearly) Optimal for Low-Rank Approximation

6 April 2023
Ainesh Bakshi
Shyam Narayanan
ArXivPDFHTML

Papers citing "Krylov Methods are (nearly) Optimal for Low-Rank Approximation"

1 / 1 papers shown
Title
Sharper Bounds for Chebyshev Moment Matching with Applications to
  Differential Privacy and Beyond
Sharper Bounds for Chebyshev Moment Matching with Applications to Differential Privacy and Beyond
Cameron Musco
Christopher Musco
Lucas Rosenblatt
A. Singh
FedML
42
1
0
22 Aug 2024
1