← Optimization
Mathematics & Optimization › Optimization ›

Sparse Optimization

347 directly classified papers

Papers per year

Papers

Learning with a linear loss function: excess risk and estimation bounds for ERM, minmax MOM and their regularized versions with applications to robustness in sparse PCA. JMLR 2024
Robust Gaussian Processes via Relevance Pursuit NIPS 2024
A robust inlier identification algorithm for point cloud registration via $\mathbf{\ell_0}$-minimization NIPS 2024
OmniSDF: Scene Reconstruction using Omnidirectional Signed Distance Functions and Adaptive Binoctrees CVPR 2024
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
Sparse GCA and Thresholded Gradient Descent JMLR 2023
MARS: A Second-Order Reduction Algorithm for High-Dimensional Sparse Precision Matrices Estimation JMLR 2023
Extending Kernel PCA through Dualization: Sparsity, Robustness and Fast Algorithms ICML 2023
Mixed Linear Regression via Approximate Message Passing AISTATS 2023
Stochastic Mirror Descent for Large-Scale Sparse Recovery AISTATS 2023
Adaptive Estimation of Graphical Models under Total Positivity ICML 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
Elastic Gradient Descent, an Iterative Optimization Method Approximating the Solution Paths of the Elastic Net JMLR 2023
Efficient k-NN Search with Cross-Encoders using Adaptive Multi-Round CUR Decomposition EMNLP 2023
Near-Optimal Weighted Matrix Completion JMLR 2023
The SKIM-FA Kernel: High-Dimensional Variable Selection and Nonlinear Interaction Discovery in Linear Time JMLR 2023
tntorch: Tensor Network Learning with PyTorch JMLR 2022
Reverse Engineering $\ell_p$ attacks: A block-sparse optimization approach with recovery guarantees ICML 2022
abess: A Fast Best-Subset Selection Library in Python and R JMLR 2022
Anisotropic Additive Quantization for Fast Inner Product Search AAAI 2022
Noisy L0-sparse subspace clustering on dimensionality reduced data UAI 2022
Towards An Efficient Approach for the Nonconvex lp Ball Projection: Algorithm and Analysis JMLR 2022
Fast Stagewise Sparse Factor Regression JMLR 2022