Sparse Optimization
416 papers
Papers per year
7
5
13
13
22
21
29
31
32
30
19
20
28
19
29
20
14
18
30
14
2
'10
'15
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'25
Papers
Extending Kernel PCA through Dualization: Sparsity, Robustness and Fast Algorithms
ICML 2023
Few-Shot Non-Line-of-Sight Imaging With Signal-Surface Collaborative Regularization
CVPR 2023
Global Convergence of Sub-gradient Method for Robust Matrix Recovery: Small Initialization, Noisy Measurements, and Over-parameterization
JMLR 2023
Global Identifiability of ℓ_1-based Dictionary Learning via Matrix Volume Optimization
NeurIPS 2023
MARS: A Second-Order Reduction Algorithm for High-Dimensional Sparse Precision Matrices Estimation
JMLR 2023
Mixed Linear Regression via Approximate Message Passing
AISTATS 2023
Near-Optimal Weighted Matrix Completion
JMLR 2023
On the Optimality of Nuclear-norm-based Matrix Completion for Problems with Smooth Non-linear Structure
JMLR 2023
Semantic Similarity Covariance Matrix Shrinkage
EMNLP 2023
Semi-Random Sparse Recovery in Nearly-Linear Time
COLT 2023
Sparse GCA and Thresholded Gradient Descent
JMLR 2023
Sparse PCA Beyond Covariance Thresholding
COLT 2023
Stochastic Mirror Descent for Large-Scale Sparse Recovery
AISTATS 2023
The SKIM-FA Kernel: High-Dimensional Variable Selection and Nonlinear Interaction Discovery in Linear Time
JMLR 2023
abess: A Fast Best-Subset Selection Library in Python and R
JMLR 2022
Anisotropic Additive Quantization for Fast Inner Product Search
AAAI 2022
Fast Algorithm for Low-Rank Tensor Completion in Delay-Embedded Space
CVPR 2022
Fast Stagewise Sparse Factor Regression
JMLR 2022
Iterative Hard Thresholding with Adaptive Regularization: Sparser Solutions Without Sacrificing Runtime
ICML 2022
Learning the Structure of Large Networked Systems Obeying Conservation Laws
NeurIPS 2022
Noisy L0-sparse subspace clustering on dimensionality reduced data
UAI 2022
On the Effectiveness of Persistent Homology
NeurIPS 2022
Projected Gradient Descent Algorithms for Solving Nonlinear Inverse Problems with Generative Priors
IJCAI 2022
Reverse Engineering ℓ_p attacks: A block-sparse optimization approach with recovery guarantees
ICML 2022
The Geometry of Uniqueness, Sparsity and Clustering in Penalized Estimation
JMLR 2022