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A concentration theorem for projections

A concentration theorem for projections

Conference on Uncertainty in Artificial Intelligence (UAI), 2006
27 June 2012
S. Dasgupta
Daniel J. Hsu
Nakul Verma
ArXiv (abs)PDFHTML

Papers citing "A concentration theorem for projections"

10 / 10 papers shown
Balancing Utility and Privacy: Dynamically Private SGD with Random Projection
Balancing Utility and Privacy: Dynamically Private SGD with Random Projection
Zhanhong Jiang
Md Zahid Hasan
Nastaran Saadati
Aditya Balu
Chao Liu
Soumik Sarkar
261
1
0
11 Sep 2025
Memory-Sample Tradeoffs for Linear Regression with Small Error
Memory-Sample Tradeoffs for Linear Regression with Small Error
Willie Neiswanger
Aaron Sidford
Gregory Valiant
266
38
0
18 Apr 2019
Projecting "better than randomly": How to reduce the dimensionality of
  very large datasets in a way that outperforms random projections
Projecting "better than randomly": How to reduce the dimensionality of very large datasets in a way that outperforms random projections
M. Wojnowicz
Di Zhang
Glenn Chisholm
Xuan Zhao
Matt Wolff
164
12
0
03 Jan 2019
Black-box Adversarial Attacks with Limited Queries and Information
Black-box Adversarial Attacks with Limited Queries and InformationInternational Conference on Machine Learning (ICML), 2018
Andrew Ilyas
Logan Engstrom
Anish Athalye
Jessy Lin
MLAUAAML
786
1,358
0
23 Apr 2018
Linear Time Clustering for High Dimensional Mixtures of Gaussian Clouds
Linear Time Clustering for High Dimensional Mixtures of Gaussian Clouds
D. Kushnir
S. Jalali
I. Saniee
211
0
0
19 Dec 2017
Query-Efficient Black-box Adversarial Examples (superceded)
Query-Efficient Black-box Adversarial Examples (superceded)
Andrew Ilyas
Logan Engstrom
Anish Athalye
Jessy Lin
AAMLMLAU
230
53
0
19 Dec 2017
Scalable simultaneous inference in high-dimensional linear regression
  models
Scalable simultaneous inference in high-dimensional linear regression models
Tom Boot
Didier Nibbering
250
0
0
09 Mar 2017
Conditional Central Limit Theorems for Gaussian Projections
Conditional Central Limit Theorems for Gaussian ProjectionsInternational Symposium on Information Theory (ISIT), 2016
Galen Reeves
256
27
0
29 Dec 2016
Guaranteed Non-Orthogonal Tensor Decomposition via Alternating Rank-$1$
  Updates
Guaranteed Non-Orthogonal Tensor Decomposition via Alternating Rank-111 Updates
Anima Anandkumar
Rong Ge
Majid Janzamin
687
137
0
21 Feb 2014
Sparse Overlapping Sets Lasso for Multitask Learning and its Application
  to fMRI Analysis
Sparse Overlapping Sets Lasso for Multitask Learning and its Application to fMRI AnalysisNeural Information Processing Systems (NeurIPS), 2013
Nikhil S. Rao
Christopher R. Cox
Robert D. Nowak
Timothy T. Rogers
363
72
0
20 Nov 2013
1
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