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Sparse Optimization

347 directly classified papers

Papers per year

Papers

Exp4Fuse: A Rank Fusion Framework for Enhanced Sparse Retrieval using Large Language Model-based Query Expansion ACL 2025
Blind Image Deblurring with FFT-ReLU Sparsity Prior WACV 2025
Geometry-Dependent Matching Pursuit: a Transition Phase for Convergence on Linear Regression and LASSO JMLR 2025
Simplex Constrained Sparse Optimization via Tail Screening JMLR 2025
Solving Sparse \& High-Dimensional-Output Regression via Compression NIPS 2024
The Reliability of OKRidge Method in Solving Sparse Ridge Regression Problems NIPS 2024
Restricted Isometry Property of Rank-One Measurements with Random Unit-Modulus Vectors AISTATS 2024
Efficient Leverage Score Sampling for Tensor Train Decomposition NIPS 2024
A minimax optimal approach to high-dimensional double sparse linear regression JMLR 2024
Robust Gaussian Processes via Relevance Pursuit NIPS 2024
Truthful High Dimensional Sparse Linear Regression NIPS 2024
SequentialAttention++ for Block Sparsification: Differentiable Pruning Meets Combinatorial Optimization NIPS 2024
Sparse NMF with Archetypal Regularization: Computational and Robustness Properties JMLR 2024
A Globally Optimal Portfolio for m-Sparse Sharpe Ratio Maximization NIPS 2024
Learning Macroscopic Dynamics from Partial Microscopic Observations NIPS 2024
How Sparse Can We Prune A Deep Network: A Fundamental Limit Perspective NIPS 2024
Satformer: Accurate and Robust Traffic Data Estimation for Satellite Networks NIPS 2024
Sample Efficient Learning of Factored Embeddings of Tensor Fields AISTATS 2024
OmniSDF: Scene Reconstruction using Omnidirectional Signed Distance Functions and Adaptive Binoctrees CVPR 2024
Dual-Scale Transformer for Large-Scale Single-Pixel Imaging CVPR 2024
Sparse Bayesian Generative Modeling for Compressive Sensing NIPS 2024
Implicit Regularization of Decentralized Gradient Descent for Sparse Regression NIPS 2024
The Non-Overlapping Statistical Approximation to Overlapping Group Lasso JMLR 2024
A robust inlier identification algorithm for point cloud registration via $\mathbf{\ell_0}$-minimization NIPS 2024
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