conftrace_

eigenvalue problem

16 papers

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Co-occurring keywords

principal component analysis (316) sparse optimization (246) variance reduction (523) canonical correlation analysis (111) supervised learning (434) spectral clustering (305) dimensionality reduction (720) block solver (1) correlation analysis (55) black-box variational inference (9)

Papers

EigenVI: score-based variational inference with orthogonal function expansions NIPS 2024
Invariant subspaces and PCA in nearly matrix multiplication time NIPS 2024
Online PCA in Converging Self-consistent Field Equations NIPS 2023
Sparse GCA and Thresholded Gradient Descent JMLR 2023
A Note on Sparse Generalized Eigenvalue Problem NIPS 2021
Large-Scale Unsupervised Object Discovery NIPS 2021
Stochastic Variance-Reduced Algorithms for PCA with Arbitrary Mini-Batch Sizes AISTATS 2020
A Sparse Resultant Based Method for Efficient Minimal Solvers CVPR 2020
Robustness Can Be Cheap: A Highly Efficient Approach to Discover Outliers under High Outlier Ratios AAAI 2019
Complex Moment-Based Supervised Eigenmap for Dimensionality Reduction AAAI 2019
Spectral Feature Scaling Method for Supervised Dimensionality Reduction IJCAI 2018
On Truly Block Eigensolvers via Riemannian Optimization AISTATS 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 NIPS 2011