dimensionality reduction

Sketching, Embedding and Dimensionality Reduction in Information Theoretic Spaces AISTATS 2016 Subspace Learning with Partial Information JMLR 2016 The Variational Nystrom method for large-scale spectral problems ICML 2016 Trace Quotient Meets Sparsity: A Method for Learning Low Dimensional Image Representations CVPR 2016 Universal Background Sparse Coding and Multilayer Bootstrap Network for Speaker Clustering Interspeech 2016 Unsupervised Feature Selection by Preserving Stochastic Neighbors AISTATS 2016 Variational Inference for Latent Variables and Uncertain Inputs in Gaussian Processes JMLR 2016 A Deterministic Analysis of Noisy Sparse Subspace Clustering for Dimensionality-reduced Data ICML 2015 A fast, universal algorithm to learn parametric nonlinear embeddings NeurIPS 2015 Algorithmic Stability and Uniform Generalization NeurIPS 2015 Alpha-Beta Divergences Discover Micro and Macro Structures in Data ICML 2015 A New Look at Nearest Neighbours: Identifying Benign Input Geometries via Random Projections ACML 2015 A Normative Theory of Adaptive Dimensionality Reduction in Neural Networks NeurIPS 2015 Approximating Sparse PCA from Incomplete Data NeurIPS 2015 A Reduced-Dimension fMRI Shared Response Model NeurIPS 2015 Autoencoder Trees ACML 2015 Bayesian Manifold Learning: The Locally Linear Latent Variable Model (LL-LVM) NeurIPS 2015 Compressive spectral embedding: sidestepping the SVD NeurIPS 2015 Diversity-Induced Multi-View Subspace Clustering CVPR 2015 Elastic Functional Coding of Human Actions: From Vector-Fields to Latent Variables CVPR 2015 Fast Orthogonal Projection Based on Kronecker Product ICCV 2015 Geometry-Aware Principal Component Analysis for Symmetric Positive Definite Matrices ACML 2015 Hashing With Binary Autoencoders CVPR 2015 Heteroscedastic Max-Min Distance Analysis CVPR 2015 Hierarchical-PEP Model for Real-World Face Recognition CVPR 2015