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Lecture Notes on Randomized Linear Algebra

Lecture Notes on Randomized Linear Algebra

16 August 2016
Michael W. Mahoney
ArXiv (abs)PDFHTML

Papers citing "Lecture Notes on Randomized Linear Algebra"

12 / 12 papers shown
GraSS: Scalable Data Attribution with Gradient Sparsification and Sparse Projection
GraSS: Scalable Data Attribution with Gradient Sparsification and Sparse Projection
Pingbang Hu
Joseph Melkonian
Weijing Tang
Han Zhao
Jiaqi W. Ma
TDI
682
0
0
25 May 2025
Recent and Upcoming Developments in Randomized Numerical Linear Algebra
  for Machine Learning
Recent and Upcoming Developments in Randomized Numerical Linear Algebra for Machine Learning
Michał Dereziński
Michael W. Mahoney
333
22
0
17 Jun 2024
Randomized Algorithms for Symmetric Nonnegative Matrix Factorization
Randomized Algorithms for Symmetric Nonnegative Matrix Factorization
Koby Hayashi
Sinan G. Aksoy
Grey Ballard
Haesun Park
180
1
0
13 Feb 2024
Matrix Compression via Randomized Low Rank and Low Precision
  Factorization
Matrix Compression via Randomized Low Rank and Low Precision FactorizationNeural Information Processing Systems (NeurIPS), 2023
R. Saha
Varun Srivastava
Mert Pilanci
294
36
0
17 Oct 2023
Iterative Sketching for Secure Coded Regression
Iterative Sketching for Secure Coded RegressionIEEE Journal on Selected Areas in Information Theory (JSAIT), 2023
Neophytos Charalambides
Hessam Mahdavifar
Mert Pilanci
Alfred Hero
312
4
0
08 Aug 2023
Gradient Coding with Iterative Block Leverage Score Sampling
Gradient Coding with Iterative Block Leverage Score SamplingIEEE Transactions on Information Theory (IEEE Trans. Inf. Theory), 2023
Neophytos Charalambides
Mert Pilanci
Alfred Hero
340
6
0
06 Aug 2023
Distributed Sketching for Randomized Optimization: Exact
  Characterization, Concentration and Lower Bounds
Distributed Sketching for Randomized Optimization: Exact Characterization, Concentration and Lower BoundsIEEE Transactions on Information Theory (IEEE Trans. Inf. Theory), 2022
Burak Bartan
Mert Pilanci
238
9
0
18 Mar 2022
Orthonormal Sketches for Secure Coded Regression
Orthonormal Sketches for Secure Coded RegressionInternational Symposium on Information Theory (ISIT), 2022
Neophytos Charalambides
Hessam Mahdavifar
Mert Pilanci
Alfred Hero
292
10
0
21 Jan 2022
Scalable3-BO: Big Data meets HPC - A scalable asynchronous parallel
  high-dimensional Bayesian optimization framework on supercomputers
Scalable3-BO: Big Data meets HPC - A scalable asynchronous parallel high-dimensional Bayesian optimization framework on supercomputersConference on Computability in Europe (CiE), 2021
Anh Tran
253
3
0
12 Aug 2021
Oversampling Divide-and-conquer for Response-skewed Kernel Ridge
  Regression
Oversampling Divide-and-conquer for Response-skewed Kernel Ridge Regression
Jingyi Zhang
Xiaoxiao Sun
292
0
0
13 Jul 2021
Spectral Methods for Data Science: A Statistical Perspective
Spectral Methods for Data Science: A Statistical Perspective
Yuxin Chen
Yuejie Chi
Jianqing Fan
Cong Ma
699
217
0
15 Dec 2020
LSAR: Efficient Leverage Score Sampling Algorithm for the Analysis of
  Big Time Series Data
LSAR: Efficient Leverage Score Sampling Algorithm for the Analysis of Big Time Series DataJournal of machine learning research (JMLR), 2019
A. Eshragh
Fred Roosta
A. Nazari
Michael W. Mahoney
AI4TS
281
17
0
27 Nov 2019
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