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sparse optimization

246 papers

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Co-occurring keywords

convex optimization (1321) feature selection (649) sparse regression (175) compressed sensing (201) l1 regularization (87) sparse representation (297) graphical model (864) dimensionality reduction (720) model compression (3302) support vector machine (978)

Papers

Sparsity Outperforms Low-Rank Projections in Few-Shot Adaptation ICCV 2025
Optimizing Parameters of Quantum Circuits with Sparsity-Inducing Coordinate Descent IJCAI 2025
TASO: Task-Aligned Sparse Optimization for Parameter-Efficient Model Adaptation EMNLP 2025
Simplex Constrained Sparse Optimization via Tail Screening JMLR 2025
Sparse Transfer Learning Accelerates and Enhances Certified Robustness: A Comprehensive Study AAAI 2025
Sparse SVM with Hard-Margin Loss: a Newton-Augmented Lagrangian Method in Reduced Dimensions JMLR 2025
1+1>2: A Synergistic Sparse and Low-Rank Compression Method for Large Language Models EMNLP 2025
ImPart: Importance-Aware Delta-Sparsification for Improved Model Compression and Merging in LLMs ACL 2025
SparseFlow: Accelerating Transformers by Sparsifying Information Flows ACL 2024
DNNLasso: Scalable Graph Learning for Matrix-Variate Data AISTATS 2024
skscope: Fast Sparsity-Constrained Optimization in Python JMLR 2024
On Sparse Canonical Correlation Analysis NIPS 2024
UniPTS: A Unified Framework for Proficient Post-Training Sparsity CVPR 2024
How Sparse Can We Prune A Deep Network: A Fundamental Limit Perspective NIPS 2024
Causal Temporal Representation Learning with Nonstationary Sparse Transition NIPS 2024
Dual-Scale Transformer for Large-Scale Single-Pixel Imaging CVPR 2024
The Non-Overlapping Statistical Approximation to Overlapping Group Lasso JMLR 2024
Solving Sparse \& High-Dimensional-Output Regression via Compression NIPS 2024
Fitting ARMA Time Series Models without Identification: A Proximal Approach AISTATS 2024
Approximate Algorithms for k-Sparse Wasserstein Barycenter with Outliers IJCAI 2024
A Globally Optimal Portfolio for m-Sparse Sharpe Ratio Maximization NIPS 2024
Learning Macroscopic Dynamics from Partial Microscopic Observations NIPS 2024
SequentialAttention++ for Block Sparsification: Differentiable Pruning Meets Combinatorial Optimization NIPS 2024
Superposed Atomic Representation for Robust High-Dimensional Data Recovery of Multiple Low-Dimensional Structures AAAI 2024
Efficient LLM Jailbreak via Adaptive Dense-to-sparse Constrained Optimization NIPS 2024