sparse optimization

Towards An Efficient Approach for the Nonconvex lp Ball Projection: Algorithm and Analysis JMLR 2022 Towards Fully Sparse Training: Information Restoration with Spatial Similarity AAAI 2022 Zeroth-Order Hard-Thresholding: Gradient Error vs. Expansivity NeurIPS 2022 A Note on Sparse Generalized Eigenvalue Problem NeurIPS 2021 A Novel Sequential Coreset Method for Gradient Descent Algorithms ICML 2021 Distributed Machine Learning with Sparse Heterogeneous Data NeurIPS 2021 Dynamic Sasvi: Strong Safe Screening for Norm-Regularized Least Squares NeurIPS 2021 Efficient On-Chip Learning for Optical Neural Networks Through Power-Aware Sparse Zeroth-Order Optimization AAAI 2021 Expanding Boundaries of Gap Safe Screening JMLR 2021 Global and Quadratic Convergence of Newton Hard-Thresholding Pursuit JMLR 2021 Homomorphic Sensing: Sparsity and Noise ICML 2021 Learning Set Functions that are Sparse in Non-Orthogonal Fourier Bases AAAI 2021 Low Resource Quadratic Forms for Knowledge Graph Embeddings EMNLP 2021 Neural Architecture Search as Sparse Supernet AAAI 2021 Revitalizing Optimization for 3D Human Pose and Shape Estimation: A Sparse Constrained Formulation ICCV 2021 Sample-Efficient L0-L2 Constrained Structure Learning of Sparse Ising Models AAAI 2021 Sparse and Smooth Signal Estimation: Convexification of L0-Formulations JMLR 2021 Sparse Multi-Path Corrections in Fringe Projection Profilometry CVPR 2021 Sparse Quadratic Optimisation over the Stiefel Manifold with Application to Permutation Synchronisation NeurIPS 2021 Square Root Bundle Adjustment for Large-Scale Reconstruction CVPR 2021 Stochastic Proximal Methods for Non-Smooth Non-Convex Constrained Sparse Optimization JMLR 2021 The Flip Side of the Reweighted Coin: Duality of Adaptive Dropout and Regularization NeurIPS 2021 A Feasible Level Proximal Point Method for Nonconvex Sparse Constrained Optimization NeurIPS 2020 Approximation Guarantees of Local Search Algorithms via Localizability of Set Functions ICML 2020 A Sparse Semismooth Newton Based Proximal Majorization-Minimization Algorithm for Nonconvex Square-Root-Loss Regression Problems JMLR 2020