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A Statistical Perspective on Randomized Sketching for Ordinary
  Least-Squares
v1v2 (latest)

A Statistical Perspective on Randomized Sketching for Ordinary Least-Squares

23 June 2014
Garvesh Raskutti
Michael W. Mahoney
ArXiv (abs)PDFHTML

Papers citing "A Statistical Perspective on Randomized Sketching for Ordinary Least-Squares"

29 / 29 papers shown
Title
Approximation and Progressive Display of Multiverse Analyses
Approximation and Progressive Display of Multiverse Analyses
Yang Liu
Tim Althoff
Jeffrey Heer
46
1
0
15 May 2023
Towards Practical Large-scale Randomized Iterative Least Squares Solvers
  through Uncertainty Quantification
Towards Practical Large-scale Randomized Iterative Least Squares Solvers through Uncertainty Quantification
Nathaniel Pritchard
V. Patel
59
2
0
09 Aug 2022
Optimal subsampling for functional quantile regression
Optimal subsampling for functional quantile regression
Qian Yan
Hanyu Li
Chengmei Niu
65
7
0
05 May 2022
On randomized sketching algorithms and the Tracy-Widom law
On randomized sketching algorithms and the Tracy-Widom law
Daniel Ahfock
W. Astle
S. Richardson
55
1
0
03 Jan 2022
Learning Augmentation Distributions using Transformed Risk Minimization
Learning Augmentation Distributions using Transformed Risk Minimization
Evangelos Chatzipantazis
Stefanos Pertigkiozoglou
Kostas Daniilidis
Yan Sun
81
15
0
16 Nov 2021
The Internet of Federated Things (IoFT): A Vision for the Future and
  In-depth Survey of Data-driven Approaches for Federated Learning
The Internet of Federated Things (IoFT): A Vision for the Future and In-depth Survey of Data-driven Approaches for Federated Learning
Raed Al Kontar
Naichen Shi
Xubo Yue
Seokhyun Chung
E. Byon
...
Chinedum Okwudire
Garvesh Raskutti
R. Saigal
Karandeep Singh
Ye Zhisheng
FedML
106
53
0
09 Nov 2021
Functional Principal Subspace Sampling for Large Scale Functional Data
  Analysis
Functional Principal Subspace Sampling for Large Scale Functional Data Analysis
Shiyuan He
Xiaomeng Yan
112
4
0
08 Sep 2021
Sparse sketches with small inversion bias
Sparse sketches with small inversion bias
Michal Derezinski
Zhenyu Liao
Yan Sun
Michael W. Mahoney
109
22
0
21 Nov 2020
Recursive Importance Sketching for Rank Constrained Least Squares:
  Algorithms and High-order Convergence
Recursive Importance Sketching for Rank Constrained Least Squares: Algorithms and High-order Convergence
Yuetian Luo
Wen Huang
Xudong Li
Anru R. Zhang
76
16
0
17 Nov 2020
Precise expressions for random projections: Low-rank approximation and
  randomized Newton
Precise expressions for random projections: Low-rank approximation and randomized Newton
Michal Derezinski
Feynman T. Liang
Zhenyu A. Liao
Michael W. Mahoney
90
24
0
18 Jun 2020
How to reduce dimension with PCA and random projections?
How to reduce dimension with PCA and random projections?
Fan Yang
Sifan Liu
Yan Sun
David P. Woodruff
63
28
0
01 May 2020
Randomized spectral co-clustering for large-scale directed networks
Randomized spectral co-clustering for large-scale directed networks
Xiao Guo
Yixuan Qiu
Hai Zhang
Xiangyu Chang
68
14
0
25 Apr 2020
Asymptotic Analysis of Sampling Estimators for Randomized Numerical
  Linear Algebra Algorithms
Asymptotic Analysis of Sampling Estimators for Randomized Numerical Linear Algebra Algorithms
Ping Ma
Xinlian Zhang
Xin Xing
Jingyi Ma
Michael W. Mahoney
107
57
0
24 Feb 2020
Optimal subsampling for quantile regression in big data
Optimal subsampling for quantile regression in big data
Haiying Wang
Yanyuan Ma
139
133
0
28 Jan 2020
Randomized Spectral Clustering in Large-Scale Stochastic Block Models
Randomized Spectral Clustering in Large-Scale Stochastic Block Models
Hai Zhang
Xiao Guo
Xiangyu Chang
132
24
0
20 Jan 2020
Exact expressions for double descent and implicit regularization via
  surrogate random design
Exact expressions for double descent and implicit regularization via surrogate random design
Michal Derezinski
Feynman T. Liang
Michael W. Mahoney
82
78
0
10 Dec 2019
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 Data
A. Eshragh
Fred Roosta
A. Nazari
Michael W. Mahoney
AI4TS
62
14
0
27 Nov 2019
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
221
45
0
09 Nov 2019
Ridge Regression: Structure, Cross-Validation, and Sketching
Ridge Regression: Structure, Cross-Validation, and Sketching
Sifan Liu
Yan Sun
CML
115
48
0
06 Oct 2019
Optimal Sampling for Generalized Linear Models under Measurement
  Constraints
Optimal Sampling for Generalized Linear Models under Measurement Constraints
Tao Zhang
Y. Ning
D. Ruppert
60
32
0
17 Jul 2019
An Econometric Perspective on Algorithmic Subsampling
An Econometric Perspective on Algorithmic Subsampling
Serena Ng
S. Lee
62
13
0
03 Jul 2019
Asymptotics for Sketching in Least Squares Regression
Asymptotics for Sketching in Least Squares Regression
Yan Sun
Sifan Liu
61
13
0
14 Oct 2018
A Projector-Based Approach to Quantifying Total and Excess Uncertainties
  for Sketched Linear Regression
A Projector-Based Approach to Quantifying Total and Excess Uncertainties for Sketched Linear Regression
Jocelyn T. Chi
Ilse C. F. Ipsen
65
5
0
17 Aug 2018
Subspace Embedding and Linear Regression with Orlicz Norm
Subspace Embedding and Linear Regression with Orlicz Norm
Alexandr Andoni
Chengyu Lin
Ying Sheng
Peilin Zhong
Ruiqi Zhong
74
36
0
17 Jun 2018
Optimal Sub-sampling with Influence Functions
Optimal Sub-sampling with Influence Functions
Daniel Ting
E. Brochu
TDI
82
32
0
06 Sep 2017
Statistical properties of sketching algorithms
Statistical properties of sketching algorithms
Daniel Ahfock
W. Astle
S. Richardson
102
39
0
12 Jun 2017
Online Censoring for Large-Scale Regressions with Application to
  Streaming Big Data
Online Censoring for Large-Scale Regressions with Application to Streaming Big Data
Dimitris Berberidis
V. Kekatos
G. Giannakis
64
65
0
27 Jul 2015
Statistical and Algorithmic Perspectives on Randomized Sketching for
  Ordinary Least-Squares -- ICML
Statistical and Algorithmic Perspectives on Randomized Sketching for Ordinary Least-Squares -- ICML
Garvesh Raskutti
Michael W. Mahoney
101
16
0
25 May 2015
The Statistics of Streaming Sparse Regression
The Statistics of Streaming Sparse Regression
Jacob Steinhardt
Stefan Wager
Percy Liang
266
10
0
13 Dec 2014
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