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Distilled Sensing: Adaptive Sampling for Sparse Detection and Estimation
v1v2 (latest)

Distilled Sensing: Adaptive Sampling for Sparse Detection and Estimation

29 January 2010
Jarvis Haupt
R. Castro
Robert D. Nowak
ArXiv (abs)PDFHTML

Papers citing "Distilled Sensing: Adaptive Sampling for Sparse Detection and Estimation"

31 / 31 papers shown
Title
Uncertainty-Based Non-Parametric Active Peak Detection
Uncertainty-Based Non-Parametric Active Peak Detection
Praneeth Narayanamurthy
U. Mitra
16
0
0
05 May 2022
Disagreement-based Active Learning in Online Settings
Disagreement-based Active Learning in Online Settings
Boshuang Huang
Sudeep Salgia
Qing Zhao
77
13
0
19 Apr 2019
Compressive Classification (Machine Learning without learning)
Compressive Classification (Machine Learning without learning)
V. Schellekens
Laurent Jacques
SSL
18
6
0
04 Dec 2018
Fundamental Limits of Exact Support Recovery in High Dimensions
Fundamental Limits of Exact Support Recovery in High Dimensions
Zhengyuan Gao
Stilian A. Stoev
83
16
0
13 Nov 2018
A Bandit Approach to Multiple Testing with False Discovery Control
A Bandit Approach to Multiple Testing with False Discovery Control
Kevin Jamieson
Lalit P. Jain
81
23
0
06 Sep 2018
Data-adaptive Active Sampling for Efficient Graph-Cognizant
  Classification
Data-adaptive Active Sampling for Efficient Graph-Cognizant Classification
Dimitris Berberidis
G. Giannakis
56
13
0
19 May 2017
Are there needles in a moving haystack? Adaptive sensing for detection
  of dynamically evolving signals
Are there needles in a moving haystack? Adaptive sensing for detection of dynamically evolving signals
R. Castro
Ervin Tánczos
30
0
0
25 Feb 2017
Robust Low-Complexity Randomized Methods for Locating Outliers in Large
  Matrices
Robust Low-Complexity Randomized Methods for Locating Outliers in Large Matrices
Xingguo Li
Jarvis Haupt
35
2
0
07 Dec 2016
Leveraging Union of Subspace Structure to Improve Constrained Clustering
Leveraging Union of Subspace Structure to Improve Constrained Clustering
J. Lipor
Laura Balzano
53
17
0
06 Aug 2016
Lower Bounds on Active Learning for Graphical Model Selection
Lower Bounds on Active Learning for Graphical Model Selection
Jonathan Scarlett
Volkan Cevher
64
8
0
08 Jul 2016
Sketching for Large-Scale Learning of Mixture Models
Sketching for Large-Scale Learning of Mixture Models
Nicolas Keriven
Anthony Bourrier
Rémi Gribonval
Patrick Pérez
76
75
0
09 Jun 2016
A statistical perspective of sampling scores for linear regression
A statistical perspective of sampling scores for linear regression
Siheng Chen
R. Varma
Aarti Singh
J. Kovacevic
84
13
0
21 Jul 2015
Minimax Structured Normal Means Inference
Minimax Structured Normal Means Inference
A. Krishnamurthy
TPM
21
5
0
25 Jun 2015
Provably Correct Algorithms for Matrix Column Subset Selection with
  Selectively Sampled Data
Provably Correct Algorithms for Matrix Column Subset Selection with Selectively Sampled Data
Yining Wang
Aarti Singh
135
22
0
17 May 2015
Two-stage Sampling, Prediction and Adaptive Regression via Correlation
  Screening (SPARCS)
Two-stage Sampling, Prediction and Adaptive Regression via Correlation Screening (SPARCS)
H. Firouzi
Alfred Hero
B. Rajaratnam
33
6
0
22 Feb 2015
Universal Scheme for Optimal Search and Stop
Universal Scheme for Optimal Search and Stop
S. Nitinawarat
Venugopal V. Veeravalli
66
22
0
16 Dec 2014
On the Power of Adaptivity in Matrix Completion and Approximation
On the Power of Adaptivity in Matrix Completion and Approximation
A. Krishnamurthy
Aarti Singh
90
34
0
14 Jul 2014
Compressed sensing for longitudinal MRI: An adaptive-weighted approach
Compressed sensing for longitudinal MRI: An adaptive-weighted approach
L. Weizman
Yonina C. Eldar
D. Ben Bashat
104
94
0
10 Jul 2014
Info-Greedy sequential adaptive compressed sensing
Info-Greedy sequential adaptive compressed sensing
Gábor Braun
Sebastian Pokutta
Yao Xie
110
34
0
02 Jul 2014
Identifying Outliers in Large Matrices via Randomized Adaptive
  Compressive Sampling
Identifying Outliers in Large Matrices via Randomized Adaptive Compressive Sampling
Xingguo Li
Jarvis Haupt
126
59
0
01 Jul 2014
Active Learning for Undirected Graphical Model Selection
Active Learning for Undirected Graphical Model Selection
Divyanshu Vats
Robert D. Nowak
Richard G. Baraniuk
155
8
0
13 Apr 2014
Adaptive Sensing for Estimation of Structured Sparse Signals
Adaptive Sensing for Estimation of Structured Sparse Signals
Ervin Tánczos
R. Castro
83
33
0
27 Nov 2013
Near-Optimal Adaptive Compressed Sensing
Near-Optimal Adaptive Compressed Sensing
Matthew Malloy
Robert D. Nowak
96
164
0
26 Jun 2013
On the Fundamental Limits of Recovering Tree Sparse Vectors from Noisy
  Linear Measurements
On the Fundamental Limits of Recovering Tree Sparse Vectors from Noisy Linear Measurements
Akshay Soni
Jarvis Haupt
118
22
0
18 Jun 2013
Recovering Graph-Structured Activations using Adaptive Compressive
  Measurements
Recovering Graph-Structured Activations using Adaptive Compressive Measurements
A. Krishnamurthy
James Sharpnack
Aarti Singh
121
21
0
01 May 2013
Low-Rank Matrix and Tensor Completion via Adaptive Sampling
Low-Rank Matrix and Tensor Completion via Adaptive Sampling
A. Krishnamurthy
Aarti Singh
91
159
0
17 Apr 2013
Predictive Correlation Screening: Application to Two-stage Predictor
  Design in High Dimension
Predictive Correlation Screening: Application to Two-stage Predictor Design in High Dimension
H. Firouzi
B. Rajaratnam
Alfred Hero
52
15
0
10 Mar 2013
Spatially-adaptive sensing in nonparametric regression
Spatially-adaptive sensing in nonparametric regression
Adam D. Bull
63
5
0
02 Jul 2012
Joint Optimization and Variable Selection of High-dimensional Gaussian
  Processes
Joint Optimization and Variable Selection of High-dimensional Gaussian Processes
Bo Chen
R. Castro
Andreas Krause
GP
118
87
0
27 Jun 2012
Adaptive sensing performance lower bounds for sparse signal detection
  and support estimation
Adaptive sensing performance lower bounds for sparse signal detection and support estimation
R. Castro
397
33
0
04 Jun 2012
Detection boundary in sparse regression
Detection boundary in sparse regression
Yu. I. Ingster
Alexandre B. Tsybakov
Nicolas Verzélen
118
0
0
09 Sep 2010
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