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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

Solving Sparse \& High-Dimensional-Output Regression via Compression NIPS 2024
The SKIM-FA Kernel: High-Dimensional Variable Selection and Nonlinear Interaction Discovery in Linear Time JMLR 2023
Fast Computation of Branching Process Transition Probabilities via ADMM AISTATS 2023
Stochastic Collapse: How Gradient Noise Attracts SGD Dynamics Towards Simpler Subnetworks NIPS 2023
MARS: A Second-Order Reduction Algorithm for High-Dimensional Sparse Precision Matrices Estimation JMLR 2023
Fast Block Coordinate Descent for Non-Convex Group Regularizations AISTATS 2023
Adaptive Estimation of Graphical Models under Total Positivity ICML 2023
Connectivity Patterns are Task Embeddings ACL 2023
A Variance-Reduced and Stabilized Proximal Stochastic Gradient Method with Support Identification Guarantees for Structured Optimization AISTATS 2023
Extending Kernel PCA through Dualization: Sparsity, Robustness and Fast Algorithms ICML 2023
Sparse Bayesian optimization AISTATS 2023
Sparse GCA and Thresholded Gradient Descent JMLR 2023
Structural Hawkes Processes for Learning Causal Structure from Discrete-Time Event Sequences IJCAI 2023
Solving L1-regularized SVMs and Related Linear Programs: Revisiting the Effectiveness of Column and Constraint Generation JMLR 2022
Plenoxels: Radiance Fields Without Neural Networks CVPR 2022
abess: A Fast Best-Subset Selection Library in Python and R JMLR 2022
Global Linear and Local Superlinear Convergence of IRLS for Non-Smooth Robust Regression NIPS 2022
Discovering Interpretable Data-to-Sequence Generators AAAI 2022
Towards Fully Sparse Training: Information Restoration with Spatial Similarity AAAI 2022
Improved Imaging by Invex Regularizers with Global Optima Guarantees NIPS 2022
Pairwise Conditional Gradients without Swap Steps and Sparser Kernel Herding ICML 2022
Towards An Efficient Approach for the Nonconvex lp Ball Projection: Algorithm and Analysis JMLR 2022
Fast Sparse Decision Tree Optimization via Reference Ensembles AAAI 2022
Zeroth-Order Hard-Thresholding: Gradient Error vs. Expansivity NIPS 2022
Square Root Bundle Adjustment for Large-Scale Reconstruction CVPR 2021