matrix optimization

BLAST: Block-Level Adaptive Structured Matrices for Efficient Deep Neural Network Inference NeurIPS 2024 Estimation of Sparse Gaussian Graphical Models with Hidden Clustering Structure JMLR 2024 A Line-Search Descent Algorithm for Strict Saddle Functions with Complexity Guarantees JMLR 2023 Simplifying Momentum-based Positive-definite Submanifold Optimization with Applications to Deep Learning ICML 2023 Faster proximal algorithms for matrix optimization using Jacobi-based eigenvalue methods NeurIPS 2021 Low-Rank Extragradient Method for Nonsmooth and Low-Rank Matrix Optimization Problems NeurIPS 2021 Neural Architecture Search of SPD Manifold Networks IJCAI 2021 Projection Robust Wasserstein Distance and Riemannian Optimization NeurIPS 2020 Proximity Operator of the Matrix Perspective Function and its Applications NeurIPS 2020 Doubly Accelerated Methods for Faster CCA and Generalized Eigendecomposition ICML 2017 Online PCA with Optimal Regret JMLR 2016 A Solution for Multi-Alignment by Transformation Synchronisation CVPR 2015 ML-MG: Multi-Label Learning With Missing Labels Using a Mixed Graph ICCV 2015 Generalized Higher-Order Orthogonal Iteration for Tensor Decomposition and Completion NeurIPS 2014 Geometric optimisation on positive definite matrices for elliptically contoured distributions NeurIPS 2013 A Fast Algorithm for Recovery of Jointly Sparse Vectors based on the Alternating Direction Methods AISTATS 2011 Penalty Decomposition Methods for Rank Minimization NeurIPS 2011 On Learning Rotations NeurIPS 2009 Optimal Solutions for Sparse Principal Component Analysis JMLR 2008 Support Vector Machine Classification with Indefinite Kernels NeurIPS 2007