Dimensionality Reduction

Elementary Estimators for Sparse Covariance Matrices and other Structured Moments ICML 2014 Expectation Propagation for Likelihoods Depending on an Inner Product of Two Multivariate Random Variables AISTATS 2014 Extracting Latent Structure From Multiple Interacting Neural Populations NeurIPS 2014 Factorized Point Process Intensities: A Spatial Analysis of Professional Basketball ICML 2014 Fast matrix completion without the condition number COLT 2014 Fast Multivariate Spatio-temporal Analysis via Low Rank Tensor Learning NeurIPS 2014 Generalized Unsupervised Manifold Alignment NeurIPS 2014 Grassmann Averages for Scalable Robust PCA CVPR 2014 Human Body Shape Estimation Using a Multi-Resolution Manifold Forest CVPR 2014 Hybrid Discriminative-Generative Approach with Gaussian Processes AISTATS 2014 Improved Distributed Principal Component Analysis NeurIPS 2014 large scale canonical correlation analysis with iterative least squares NeurIPS 2014 Learning Euclidean-to-Riemannian Metric for Point-to-Set Classification CVPR 2014 Low-dimensional models of neural population activity in sensory cortical circuits NeurIPS 2014 Memory Efficient Kernel Approximation ICML 2014 Minimal Scene Descriptions from Structure from Motion Models CVPR 2014 Non-convex Robust PCA NeurIPS 2014 Nonlinear Dimensionality Reduction of Data by Deep Distributed Random Samplings ACML 2014 Nonnegative Sparse PCA with Provable Guarantees ICML 2014 Online Optimization for Max-Norm Regularization NeurIPS 2014 Permutation Diffusion Maps (PDM) with Application to the Image Association Problem in Computer Vision NeurIPS 2014 Polya-gamma augmentations for factor models ACML 2014 Principal Component Analysis and Higher Correlations for Distributed Data COLT 2014 Randomized Nonlinear Component Analysis ICML 2014 Recovery of Coherent Data via Low-Rank Dictionary Pursuit NeurIPS 2014