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Dimensionality Reduction

707 papers

Papers per year

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Papers

Tight convex relaxations for sparse matrix factorization NIPS 2014
A provable SVD-based algorithm for learning topics in dominant admixture corpus NIPS 2014
Zeta Hull Pursuits: Learning Nonconvex Data Hulls NIPS 2014
Blossom Tree Graphical Models NIPS 2014
Fast Multivariate Spatio-temporal Analysis via Low Rank Tensor Learning NIPS 2014
Low-dimensional models of neural population activity in sensory cortical circuits NIPS 2014
A statistical model for tensor PCA NIPS 2014
Sparsity on Statistical Simplexes and Diversity in Social Ranking ACML 2014
Polya-gamma augmentations for factor models ACML 2014
A Fast Hierarchical Alternating Least Squares Algorithm for Orthogonal Nonnegative Matrix Factorization ACML 2014
Nonlinear Dimensionality Reduction of Data by Deep Distributed Random Samplings ACML 2014
Hybrid Discriminative-Generative Approach with Gaussian Processes AISTATS 2014
A Non-parametric Conditional Factor Regression Model for Multi-Dimensional Input and Response AISTATS 2014
Expectation Propagation for Likelihoods Depending on an Inner Product of Two Multivariate Random Variables AISTATS 2014
Uniqueness of Ordinal Embedding COLT 2014
Fast matrix completion without the condition number COLT 2014
Principal Component Analysis and Higher Correlations for Distributed Data COLT 2014
Minimal Scene Descriptions from Structure from Motion Models CVPR 2014
Human Body Shape Estimation Using a Multi-Resolution Manifold Forest CVPR 2014
Subspace Clustering for Sequential Data CVPR 2014
Learning Euclidean-to-Riemannian Metric for Point-to-Set Classification CVPR 2014
A Compact and Discriminative Face Track Descriptor CVPR 2014
Better Feature Tracking Through Subspace Constraints CVPR 2014
Grassmann Averages for Scalable Robust PCA CVPR 2014
Factorized Point Process Intensities: A Spatial Analysis of Professional Basketball ICML 2014