sparse optimization

1+1>2: A Synergistic Sparse and Low-Rank Compression Method for Large Language Models EMNLP 2025 Computationally Efficient Methods for Invariant Feature Selection with Sparsity UAI 2025 Discrepancy Minimization in Input-Sparsity Time ICML 2025 ImPart: Importance-Aware Delta-Sparsification for Improved Model Compression and Merging in LLMs ACL 2025 Optimization over Sparse Support-Preserving Sets: Two-Step Projection with Global Optimality Guarantees ICML 2025 Optimizing Parameters of Quantum Circuits with Sparsity-Inducing Coordinate Descent IJCAI 2025 Simplex Constrained Sparse Optimization via Tail Screening JMLR 2025 Sparse SVM with Hard-Margin Loss: a Newton-Augmented Lagrangian Method in Reduced Dimensions JMLR 2025 Sparse Transfer Learning Accelerates and Enhances Certified Robustness: A Comprehensive Study AAAI 2025 Sparsity Outperforms Low-Rank Projections in Few-Shot Adaptation ICCV 2025 TASO: Task-Aligned Sparse Optimization for Parameter-Efficient Model Adaptation EMNLP 2025 A Globally Optimal Portfolio for m-Sparse Sharpe Ratio Maximization NeurIPS 2024 Approximate Algorithms for k-Sparse Wasserstein Barycenter with Outliers IJCAI 2024 Causal Temporal Representation Learning with Nonstationary Sparse Transition NeurIPS 2024 DNNLasso: Scalable Graph Learning for Matrix-Variate Data AISTATS 2024 Dual-Scale Transformer for Large-Scale Single-Pixel Imaging CVPR 2024 Efficient LLM Jailbreak via Adaptive Dense-to-sparse Constrained Optimization NeurIPS 2024 Fast Iterative Hard Thresholding Methods with Pruning Gradient Computations NeurIPS 2024 Fitting ARMA Time Series Models without Identification: A Proximal Approach AISTATS 2024 How Sparse Can We Prune A Deep Network: A Fundamental Limit Perspective NeurIPS 2024 Interpretable Sparse System Identification: Beyond Recent Deep Learning Techniques on Time-Series Prediction ICLR 2024 Learning Macroscopic Dynamics from Partial Microscopic Observations NeurIPS 2024 On Sparse Canonical Correlation Analysis NeurIPS 2024 SequentialAttention++ for Block Sparsification: Differentiable Pruning Meets Combinatorial Optimization NeurIPS 2024 skscope: Fast Sparsity-Constrained Optimization in Python JMLR 2024