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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

High-dimensional Gaussian graphical models on network-linked data JMLR 2020
Sparse Optimization for Unsupervised Extractive Summarization of Long Documents with the Frank-Wolfe Algorithm EMNLP 2020
A Sparse Semismooth Newton Based Proximal Majorization-Minimization Algorithm for Nonconvex Square-Root-Loss Regression Problems JMLR 2020
On the Theoretical Guarantees for Parameter Estimation of Gaussian Random Field Models: A Sparse Precision Matrix Approach JMLR 2020
Generalized and Scalable Optimal Sparse Decision Trees ICML 2020
Stochastic Sparse Subspace Clustering CVPR 2020
Learning Feature Sparse Principal Subspace NIPS 2020
Greed Meets Sparsity: Understanding and Improving Greedy Coordinate Descent for Sparse Optimization AISTATS 2020
Sparse Adversarial Perturbations for Videos AAAI 2019
Graphical Lasso and Thresholding: Equivalence and Closed-form Solutions JMLR 2019
Learning Compact Model for Large-Scale Multi-Label Data AAAI 2019
Optimal Sparse Decision Trees NIPS 2019
Dynamic Pricing in High-dimensions JMLR 2019
A Local Block Coordinate Descent Algorithm for the CSC Model CVPR 2019
Approximation Hardness for A Class of Sparse Optimization Problems JMLR 2019
Primal-Dual Block Generalized Frank-Wolfe NIPS 2019
The Impact of Regularization on High-dimensional Logistic Regression NIPS 2019
Fast Sparse Group Lasso NIPS 2019
Interaction Hard Thresholding: Consistent Sparse Quadratic Regression in Sub-quadratic Time and Space NIPS 2019
A Regularized Approach to Sparse Optimal Policy in Reinforcement Learning NIPS 2019
iSplit LBI: Individualized Partial Ranking with Ties via Split LBI NIPS 2019
Robust Principal Component Analysis with Adaptive Neighbors NIPS 2019
Data-Adaptive Metric Learning with Scale Alignment AAAI 2019
Model Consistency for Learning with Mirror-Stratifiable Regularizers AISTATS 2019
Think out of the "Box": Generically-Constrained Asynchronous Composite Optimization and Hedging NIPS 2019