sparse optimization

Cogradient Descent for Bilinear Optimization CVPR 2020 Generalized and Scalable Optimal Sparse Decision Trees ICML 2020 Greed Meets Sparsity: Understanding and Improving Greedy Coordinate Descent for Sparse Optimization AISTATS 2020 High Dimensional Forecasting via Interpretable Vector Autoregression JMLR 2020 High-dimensional Gaussian graphical models on network-linked data JMLR 2020 Learning Feature Sparse Principal Subspace NeurIPS 2020 On the Theoretical Guarantees for Parameter Estimation of Gaussian Random Field Models: A Sparse Precision Matrix Approach JMLR 2020 Revisiting Frank-Wolfe for Polytopes: Strict Complementarity and Sparsity NeurIPS 2020 Sparse Optimization for Unsupervised Extractive Summarization of Long Documents with the Frank-Wolfe Algorithm EMNLP 2020 Sparse Parallel Training of Hierarchical Dirichlet Process Topic Models EMNLP 2020 Stochastic Sparse Subspace Clustering CVPR 2020 Variational Pathway Reasoning for EEG Emotion Recognition AAAI 2020 A Local Block Coordinate Descent Algorithm for the CSC Model CVPR 2019 Approximation Hardness for A Class of Sparse Optimization Problems JMLR 2019 A Regularized Approach to Sparse Optimal Policy in Reinforcement Learning NeurIPS 2019 Data-Adaptive Metric Learning with Scale Alignment AAAI 2019 Dynamic Pricing in High-dimensions JMLR 2019 Fast Sparse Group Lasso NeurIPS 2019 Graphical Lasso and Thresholding: Equivalence and Closed-form Solutions JMLR 2019 Greedy and IHT Algorithms for Non-convex Optimization with Monotone Costs of Non-zeros AISTATS 2019 Interaction Hard Thresholding: Consistent Sparse Quadratic Regression in Sub-quadratic Time and Space NeurIPS 2019 iSplit LBI: Individualized Partial Ranking with Ties via Split LBI NeurIPS 2019 Learning Compact Model for Large-Scale Multi-Label Data AAAI 2019 Learning Sparse Distributions using Iterative Hard Thresholding NeurIPS 2019 Manifold denoising by Nonlinear Robust Principal Component Analysis NeurIPS 2019