Projects
Reading
People
Chat
SU\G
(đž)
/K·U
Projects
Reading
People
Chat
Sign Up
Sign In
Light
Dark
System
Sketching for Simultaneously Sparse and Low-Rank Covariance Matrices
Sohail Bahmani
,
Justin Romberg
Type:
Preprint
Publication Date:
2015-10-06
Citations:
2
View Publication
Share
Locations
arXiv (Cornell University) -
View
Similar Works
Action
Title
Year
Authors
+
Sketching for Simultaneously Sparse and Low-Rank Covariance Matrices
2015
Sohail Bahmani
Justin Romberg
+
PDF
Chat
Sketching for simultaneously sparse and low-rank covariance matrices
2015
Sohail Bahmani
Justin Romberg
+
Sparse sketches with small inversion bias
2020
MichaĆ DereziĆski
Zhenyu Liao
Edgar Dobriban
Michael W. Mahoney
+
Sparse sketches with small inversion bias
2020
MichaĆ DereziĆski
Zhenyu Liao
Edgar Dobriban
Michael W. Mahoney
+
Sparse sketches with small inversion bias
2021
MichaĆ DereziĆski
Zhenyu Liao
Edgar Dobriban
Michael W. Mahoney
+
Sketching Matrix Least Squares via Leverage Scores Estimates
2022
Brett W. Larsen
Tamara G. Kolda
+
PDF
Chat
Distributed Least Squares in Small Space via Sketching and Bias Reduction
2024
Sachin Garg
Kevin Yew Lee Tan
MichaĆ DereziĆski
+
A Statistical Perspective on Randomized Sketching for Ordinary Least-Squares
2014
Garvesh Raskutti
Michael W. Mahoney
+
Asymptotics for Sketching in Least Squares Regression
2018
Edgar Dobriban
Sifan Liu
+
A Statistical Perspective on Randomized Sketching for Ordinary Least-Squares
2014
Garvesh Raskutti
Michael W. Mahoney
+
Precise expressions for random projections: Low-rank approximation and randomized Newton
2020
MichaĆ DereziĆski
Feynman Liang
Zhenyu Liao
Michael W. Mahoney
+
Precise expressions for random projections: Low-rank approximation and randomized Newton
2020
MichaĆ DereziĆski
Feynman Liang
Zhenyu Liao
Michael W. Mahoney
+
PDF
Chat
Sketching Sparse Low-Rank Matrices With Near-Optimal Sample- and Time-Complexity Using Message Passing
2023
Xiaoqi Liu
Ramji Venkataramanan
+
Statistical and Algorithmic Perspectives on Randomized Sketching for Ordinary Least-Squares -- ICML
2015
Garvesh Raskutti
Michael W. Mahoney
+
Large Covariance Estimation from Streaming Data with Knowledge-Based Sketch Matrix
2024
Xiao Tan
Zhaoyang Wang
Meng Wang
Dian Shen
Weitong Chen
Beilun Wang
+
Even Simpler Deterministic Matrix Sketching
2022
Edo Liberty
+
Statistical and Algorithmic Perspectives on Randomized Sketching for Ordinary Least-Squares
2015
Garvesh Raskutti
Michael W. Mahoney
+
Localized sketching for matrix multiplication and ridge regression
2020
Rakshith S. Srinivasa
Mark A. Davenport
Justin Romberg
+
PDF
Chat
Active Sampling Count Sketch (ASCS) for Online Sparse Estimation of a Trillion Scale Covariance Matrix
2021
Zhenwei Dai
Aditya Desai
Reinhard Heckel
Anshumali Shrivastava
+
Active Sampling Count Sketch (ASCS) for Online Sparse Estimation of a Trillion Scale Covariance Matrix
2020
Zhenwei Dai
Aditya Desai
Reinhard Heckel
Anshumali Shrivastava
Works That Cite This (2)
Action
Title
Year
Authors
+
Recipes for stable linear embeddings from Hilbert spaces to R^m
2015
Gilles Puy
Mike E. Davies
RĂ©mi Gribonval
+
Optimal Sample Complexity for Stable Matrix Recovery
2016
Yanjun Li
Kiryung Lee
Yoram Bresler
Works Cited by This (6)
Action
Title
Year
Authors
+
Low rank matrix recovery from rank one measurements
2014
Richard Kueng
Holger Rauhut
Ulrich Terstiege
+
Robust sparse phase retrieval made easy
2015
Mark Iwen
Aditya Viswanathan
Yang Wang
+
Efficient Compressive Phase Retrieval with Constrained Sensing Vectors
2015
Sohail Bahmani
Justin Romberg
+
PDF
Chat
Near-Optimal Signal Recovery From Random Projections: Universal Encoding Strategies?
2006
Emmanuel J. CandĂšs
Terence Tao
+
PDF
Chat
Robust Recovery of Signals From a Structured Union of Subspaces
2009
Yonina C. Eldar
Moshe Mishali
+
Compressive Sensing with structured random matrices
2010
Holger Rauhut