eigenvalue problem

EigenVI: score-based variational inference with orthogonal function expansions NeurIPS 2024 Invariant subspaces and PCA in nearly matrix multiplication time NeurIPS 2024 Online PCA in Converging Self-consistent Field Equations NeurIPS 2023 Sparse GCA and Thresholded Gradient Descent JMLR 2023 A Note on Sparse Generalized Eigenvalue Problem NeurIPS 2021 Large-Scale Unsupervised Object Discovery NeurIPS 2021 A Sparse Resultant Based Method for Efficient Minimal Solvers CVPR 2020 Stochastic Variance-Reduced Algorithms for PCA with Arbitrary Mini-Batch Sizes AISTATS 2020 Complex Moment-Based Supervised Eigenmap for Dimensionality Reduction AAAI 2019 Robustness Can Be Cheap: A Highly Efficient Approach to Discover Outliers under High Outlier Ratios AAAI 2019 On Truly Block Eigensolvers via Riemannian Optimization AISTATS 2018 Spectral Feature Scaling Method for Supervised Dimensionality Reduction IJCAI 2018 Locality Preserving Projections for Grassmann manifold IJCAI 2017 Simple and Scalable Constrained Clustering: a Generalized Spectral Method AISTATS 2016 Good Vibrations: A Modal Analysis Approach for Sequential Non-Rigid Structure from Motion CVPR 2014 Beyond Spectral Clustering - Tight Relaxations of Balanced Graph Cuts NeurIPS 2011