Sparse Optimization

Adaptive Forward Stepwise: A Method for High Sparsity Regression JMLR 2026 Provable Guarantees For Robust Feature Selection in Sparse Linear Models in High-Dimensions UAI 2026 Algorithms for Sparse LPN and LSPN Against Low-noise (extended abstract) COLT 2025 Blind Image Deblurring with FFT-ReLU Sparsity Prior WACV 2025 Exp4Fuse: A Rank Fusion Framework for Enhanced Sparse Retrieval using Large Language Model-based Query Expansion ACL 2025 Geometry-Dependent Matching Pursuit: a Transition Phase for Convergence on Linear Regression and LASSO JMLR 2025 Global Identifiability of Overcomplete Dictionary Learning via L1 and Volume Minimization ICLR 2025 Joint Reference Microphone Selection and Filter Order Determination in Multi-channel Active Noise Control Interspeech 2025 Learning sparse generalized linear models with binary outcomes via iterative hard thresholding COLT 2025 Noisy Low-Rank Matrix Completion via Transformed L_1 Regularization and its Theoretical Properties AISTATS 2025 Optimization over Sparse Support-Preserving Sets: Two-Step Projection with Global Optimality Guarantees ICML 2025 Simplex Constrained Sparse Optimization via Tail Screening JMLR 2025 Sketching for Convex and Nonconvex Regularized Least Squares with Sharp Guarantees ICLR 2025 Sparse Causal Effect Estimation using Two-Sample Summary Statistics in the Presence of Unmeasured Confounding AISTATS 2025 Spectral Differential Network Analysis for High-Dimensional Time Series AISTATS 2025 Spike-and-Slab Posterior Sampling in High Dimensions COLT 2025 A Fast and Provable Algorithm for Sparse Phase Retrieval ICLR 2024 A Globally Optimal Portfolio for m-Sparse Sharpe Ratio Maximization NeurIPS 2024 A minimax optimal approach to high-dimensional double sparse linear regression JMLR 2024 A New Branch-and-Bound Pruning Framework for ℓ_0-Regularized Problems ICML 2024 A robust inlier identification algorithm for point cloud registration via ℓ_0-minimization NeurIPS 2024 Dual-Scale Transformer for Large-Scale Single-Pixel Imaging CVPR 2024 Efficient Leverage Score Sampling for Tensor Train Decomposition NeurIPS 2024 Fast, blind, and accurate: Tuning-free sparse regression with global linear convergence COLT 2024 Fast Iterative Hard Thresholding Methods with Pruning Gradient Computations NeurIPS 2024