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Compressed Regression
v1v2 (latest)

Compressed Regression

Neural Information Processing Systems (NeurIPS), 2007
4 June 2007
Shuheng Zhou
John D. Lafferty
Larry A. Wasserman
ArXiv (abs)PDFHTML

Papers citing "Compressed Regression"

17 / 17 papers shown
Bayesian Data Sketching for Varying Coefficient Regression Models
Bayesian Data Sketching for Varying Coefficient Regression Models
Rajarshi Guhaniyogi
Laura Baracaldo
Sudipto Banerjee
140
5
0
30 May 2025
Sparse Data-Driven Random Projection in Regression for High-Dimensional
  Data
Sparse Data-Driven Random Projection in Regression for High-Dimensional DataJournal of Data Science Statistics and Visualisation (JDSSV), 2023
Roman Parzer
Peter Filzmoser
Laura Vana-Gur
477
3
0
30 Nov 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
252
4
0
08 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
128
7
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
214
10
0
21 Jan 2022
An Introduction to Johnson-Lindenstrauss Transforms
An Introduction to Johnson-Lindenstrauss Transforms
Casper Benjamin Freksen
131
24
0
28 Feb 2021
Compressing Large Sample Data for Discriminant Analysis
Compressing Large Sample Data for Discriminant Analysis
Alexander F. Lapanowski
Irina Gaynanova
171
5
0
08 May 2020
Distributed Sketching Methods for Privacy Preserving Regression
Distributed Sketching Methods for Privacy Preserving Regression
Burak Bartan
Mert Pilanci
134
11
0
16 Feb 2020
Asymptotics for Sketching in Least Squares Regression
Asymptotics for Sketching in Least Squares Regression
Guang Cheng
Sifan Liu
145
14
0
14 Oct 2018
Random Projections For Large-Scale Regression
Random Projections For Large-Scale Regression
Farman Ali
C. Heinze
K. H. Kim
307
47
0
19 Jan 2017
Private Incremental Regression
Private Incremental RegressionACM SIGACT-SIGMOD-SIGART Symposium on Principles of Database Systems (PODS), 2017
S. Kasiviswanathan
Kobbi Nissim
Hongxia Jin
165
14
0
04 Jan 2017
Fast Sparse Least-Squares Regression with Non-Asymptotic Guarantees
Fast Sparse Least-Squares Regression with Non-Asymptotic Guarantees
Tianbao Yang
Lijun Zhang
Qihang Lin
Rong Jin
132
2
0
18 Jul 2015
Differentially Private Ordinary Least Squares
Differentially Private Ordinary Least SquaresInternational Conference on Machine Learning (ICML), 2015
Or Sheffet
287
124
0
09 Jul 2015
Efficient Learning and Planning with Compressed Predictive States
Efficient Learning and Planning with Compressed Predictive StatesJournal of machine learning research (JMLR), 2013
William L. Hamilton
M. M. Fard
Joelle Pineau
287
42
0
01 Dec 2013
Privacy Aware Learning
Privacy Aware Learning
John C. Duchi
Sai Li
Martin J. Wainwright
526
295
0
07 Oct 2012
Bellman Error Based Feature Generation using Random Projections on
  Sparse Spaces
Bellman Error Based Feature Generation using Random Projections on Sparse SpacesNeural Information Processing Systems (NeurIPS), 2012
M. M. Fard
Yuri Grinberg
Amir-massoud Farahmand
Joelle Pineau
Doina Precup
242
2
0
23 Jul 2012
On the $\ell_1-\ell_q$ Regularized Regression
On the ℓ1−ℓq\ell_1-\ell_qℓ1​−ℓq​ Regularized Regression
Han Liu
Jian Zhang
394
18
0
11 Feb 2008
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