Research Explorer
Papers
Trends
Conferences
Explore
Authors
Topics
Keywords
Papers
Trends
Conferences
Explore
Authors
Topics
Keywords
Achievements
About
Methodology
← Keywords
sparse recovery
113 papers
Explore in graph
Co-occurring keywords
compressed sensing
(198)
compressive sensing
(126)
sample complexity
(1158)
convex optimization
(1320)
signal recovery
(54)
sparse optimization
(246)
support recovery
(43)
nonconvex optimization
(316)
signal reconstruction
(43)
high-dimensional regression
(142)
Papers
A convex program for bilinear inversion of sparse vectors
NIPS 2018
Structured Local Minima in Sparse Blind Deconvolution
NIPS 2018
Dual Iterative Hard Thresholding: From Non-convex Sparse Minimization to Non-smooth Concave Maximization
ICML 2017
Towards Understanding the Invertibility of Convolutional Neural Networks
IJCAI 2017
Learning Graphical Games from Behavioral Data: Sufficient and Necessary Conditions
AISTATS 2017
Fast, Sample-Efficient Algorithms for Structured Phase Retrieval
NIPS 2017
Bayesian Inference for Spatio-temporal Spike-and-Slab Priors
JMLR 2017
A Sparse Interactive Model for Matrix Completion with Side Information
NIPS 2016
Agnostic Estimation for Misspecified Phase Retrieval Models
NIPS 2016
Limits on Sparse Support Recovery via Linear Sketching with Random Expander Matrices
AISTATS 2016
Linearized Alternating Direction Method of Multipliers for Constrained Nonconvex Regularized Optimization
ACML 2016
A Note on the Sample Complexity of the Er-SpUD Algorithm by Spielman, Wang and Wright for Exact Recovery of Sparsely Used Dictionaries
JMLR 2016
Estimating Diffusion Networks: Recovery Conditions, Sample Complexity and Soft-thresholding Algorithm
JMLR 2016
Low-Rank and Sparse Structure Pursuit via Alternating Minimization
AISTATS 2016
Average-case hardness of RIP certification
NIPS 2016
Rate Optimal Denoising of Simultaneously Sparse and Low Rank Matrices
JMLR 2016
Sparse Solutions to Nonnegative Linear Systems and Applications
AISTATS 2015
Robust Regression via Hard Thresholding
NIPS 2015
Efficient Compressive Phase Retrieval with Constrained Sensing Vectors
NIPS 2015
Associative Memory via a Sparse Recovery Model
NIPS 2015
LASSO with Non-linear Measurements is Equivalent to One With Linear Measurements
NIPS 2015
A Nearly-Linear Time Framework for Graph-Structured Sparsity
ICML 2015
Towards a Lower Sample Complexity for Robust One-bit Compressed Sensing
ICML 2015
Inferring Graphs from Cascades: A Sparse Recovery Framework
ICML 2015
Geometric Conditions for Subspace-Sparse Recovery
ICML 2015
<
1
2
3
4
5
>