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Near-Optimal Adaptive Compressed Sensing
v1v2 (latest)

Near-Optimal Adaptive Compressed Sensing

IEEE Transactions on Information Theory (IEEE Trans. Inf. Theory), 2013
26 June 2013
Matthew Malloy
Robert D. Nowak
ArXiv (abs)PDFHTML

Papers citing "Near-Optimal Adaptive Compressed Sensing"

30 / 30 papers shown
Adaptive Compressed Sensing with Diffusion-Based Posterior Sampling
Adaptive Compressed Sensing with Diffusion-Based Posterior Sampling
Noam Elata
T. Michaeli
Michael Elad
DiffMMedIm
337
15
0
11 Jul 2024
Reinforcement Learning of Adaptive Acquisition Policies for Inverse
  Problems
Reinforcement Learning of Adaptive Acquisition Policies for Inverse Problems
Gianluigi Silvestri
F. V. Massoli
Tribhuvanesh Orekondy
Afshin Abdi
Arash Behboodi
222
0
0
10 Jul 2024
Active Learning of Piecewise Gaussian Process Surrogates
Active Learning of Piecewise Gaussian Process Surrogates
Chiwoo Park
R. Waelder
Bonggwon Kang
Benji Maruyama
Soondo Hong
R. Gramacy
GP
361
5
0
20 Jan 2023
The Role of Interactivity in Structured Estimation
The Role of Interactivity in Structured EstimationAnnual Conference Computational Learning Theory (COLT), 2022
Jayadev Acharya
C. Canonne
Ziteng Sun
Himanshu Tyagi
271
10
0
14 Mar 2022
Multi-Agent Active Search using Detection and Location Uncertainty
Multi-Agent Active Search using Detection and Location UncertaintyIEEE International Conference on Robotics and Automation (ICRA), 2022
Arundhati Banerjee
Ramina Ghods
J. Schneider
240
3
0
09 Mar 2022
RL-NCS: Reinforcement learning based data-driven approach for nonuniform
  compressed sensing
RL-NCS: Reinforcement learning based data-driven approach for nonuniform compressed sensing
Nazmul Karim
Alireza Zaeemzadeh
Nazanin Rahnavard
212
5
0
02 Jul 2021
Gaussian Process Model for Estimating Piecewise Continuous Regression
  Functions
Gaussian Process Model for Estimating Piecewise Continuous Regression Functions
Chiwoo Park
179
1
0
13 Apr 2021
Active Structure Learning of Bayesian Networks in an Observational
  Setting
Active Structure Learning of Bayesian Networks in an Observational SettingJournal of machine learning research (JMLR), 2021
Noa Ben-David
Sivan Sabato
401
5
0
25 Mar 2021
Multi-Agent Active Search using Realistic Depth-Aware Noise Model
Multi-Agent Active Search using Realistic Depth-Aware Noise Model
Ramina Ghods
W. Durkin
J. Schneider
314
18
0
09 Nov 2020
Asynchronous Multi Agent Active Search
Asynchronous Multi Agent Active Search
Ramina Ghods
A. Banerjee
J. Schneider
275
1
0
25 Jun 2020
Low Complexity Sequential Search with Size-Dependent Measurement Noise
Low Complexity Sequential Search with Size-Dependent Measurement Noise
Sung-En Chiu
T. Javidi
261
0
0
15 May 2020
Efficient active learning of sparse halfspaces with arbitrary bounded
  noise
Efficient active learning of sparse halfspaces with arbitrary bounded noiseNeural Information Processing Systems (NeurIPS), 2020
Chicheng Zhang
Jie Shen
Pranjal Awasthi
371
47
0
12 Feb 2020
Sequential Adaptive Design for Jump Regression Estimation
Sequential Adaptive Design for Jump Regression Estimation
Chiwoo Park
P. Qiu
Jennifer Carpena-Núñez
Rahul Rao
Michael Susner
Benji Maruyama
321
15
0
02 Apr 2019
Learning a Compressed Sensing Measurement Matrix via Gradient Unrolling
Learning a Compressed Sensing Measurement Matrix via Gradient UnrollingInternational Conference on Machine Learning (ICML), 2018
Shanshan Wu
A. Dimakis
Sujay Sanghavi
Felix X. Yu
D. Holtmann-Rice
Dmitry Storcheus
Afshin Rostamizadeh
Sanjiv Kumar
SSL
286
58
0
26 Jun 2018
Measurement-Adaptive Sparse Image Sampling and Recovery
Measurement-Adaptive Sparse Image Sampling and RecoveryIEEE Transactions on Computational Imaging (IEEE Trans. Comput. Imaging), 2017
Ali Taimori
F. Marvasti
101
18
0
09 Jun 2017
Image Restoration from Patch-based Compressed Sensing Measurement
Image Restoration from Patch-based Compressed Sensing Measurement
Guangtao Nie
Ying Fu
Yinqiang Zheng
Hua Huang
230
11
0
02 Jun 2017
Active Search for Sparse Signals with Region Sensing
Active Search for Sparse Signals with Region Sensing
Yifei Ma
Roman Garnett
J. Schneider
319
14
0
02 Dec 2016
Active Learning Algorithms for Graphical Model Selection
Active Learning Algorithms for Graphical Model Selection
Gautam Dasarathy
Aarti Singh
Maria-Florina Balcan
Jonghyuk Park
502
25
0
01 Feb 2016
Sequential Information Guided Sensing
Sequential Information Guided Sensing
Ruiyang Song
Yao Xie
Sebastian Pokutta
201
0
0
01 Sep 2015
A Deep Learning Approach to Structured Signal Recovery
A Deep Learning Approach to Structured Signal RecoveryAllerton Conference on Communication, Control, and Computing (Allerton), 2015
Ali Mousavi
Ankit B. Patel
Richard G. Baraniuk
265
463
0
17 Aug 2015
On Convolutional Approximations to Linear Dimensionality Reduction
  Operators for Large Scale Data Processing
On Convolutional Approximations to Linear Dimensionality Reduction Operators for Large Scale Data Processing
Swayambhoo Jain
Jarvis Haupt
309
2
0
25 Feb 2015
Sequential Sensing with Model Mismatch
Sequential Sensing with Model Mismatch
Ruiyang Song
Yao Xie
Sebastian Pokutta
184
1
0
26 Jan 2015
Adaptive Compressed Sensing for Support Recovery of Structured Sparse
  Sets
Adaptive Compressed Sensing for Support Recovery of Structured Sparse Sets
R. Castro
Ervin Tánczos
236
5
0
16 Oct 2014
Info-Greedy sequential adaptive compressed sensing
Info-Greedy sequential adaptive compressed sensingIEEE Journal on Selected Topics in Signal Processing (JSTSP), 2014
Gábor Braun
Sebastian Pokutta
Yao Xie
489
35
0
02 Jul 2014
Identifying Outliers in Large Matrices via Randomized Adaptive
  Compressive Sampling
Identifying Outliers in Large Matrices via Randomized Adaptive Compressive SamplingIEEE Transactions on Signal Processing (IEEE TSP), 2014
Xingguo Li
Jarvis Haupt
508
59
0
01 Jul 2014
Information-Theoretic Bounds for Adaptive Sparse Recovery
Information-Theoretic Bounds for Adaptive Sparse Recovery
Cem Aksoylar
Venkatesh Saligrama
318
12
0
24 Feb 2014
Adaptive Sensing for Estimation of Structured Sparse Signals
Adaptive Sensing for Estimation of Structured Sparse SignalsIEEE Transactions on Information Theory (IEEE Trans. Inf. Theory), 2013
Ervin Tánczos
R. Castro
324
33
0
27 Nov 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 MeasurementsIEEE Transactions on Information Theory (IEEE Trans. Inf. Theory), 2013
Akshay Soni
Jarvis Haupt
366
22
0
18 Jun 2013
Recovering Graph-Structured Activations using Adaptive Compressive
  Measurements
Recovering Graph-Structured Activations using Adaptive Compressive MeasurementsAsilomar Conference on Signals, Systems and Computers (ACSSC), 2013
A. Krishnamurthy
James Sharpnack
Aarti Singh
421
21
0
01 May 2013
Recovering Block-structured Activations Using Compressive Measurements
Recovering Block-structured Activations Using Compressive Measurements
Sivaraman Balakrishnan
Mladen Kolar
Alessandro Rinaldo
Aarti Singh
378
23
0
15 Sep 2012
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