Unsupervised Learning

Divide-and-Conquer Learning by Anchoring a Conical Hull NeurIPS 2014 Edge Label Inference in Generalized Stochastic Block Models: from Spectral Theory to Impossibility Results COLT 2014 Efficient Occlusive Components Analysis JMLR 2014 Factorized Point Process Intensities: A Spatial Analysis of Professional Basketball ICML 2014 Fast and Robust Archetypal Analysis for Representation Learning CVPR 2014 Faster and Sample Near-Optimal Algorithms for Proper Learning Mixtures of Gaussians COLT 2014 Feedforward Learning of Mixture Models NeurIPS 2014 Finding a sparse vector in a subspace: Linear sparsity using alternating directions NeurIPS 2014 Generalized Unsupervised Manifold Alignment NeurIPS 2014 General Table Completion using a Bayesian Nonparametric Model NeurIPS 2014 Greedy Subspace Clustering NeurIPS 2014 High-Dimensional Density Ratio Estimation with Extensions to Approximate Likelihood Computation AISTATS 2014 Incremental Clustering: The Case for Extra Clusters NeurIPS 2014 Iterative Neural Autoregressive Distribution Estimator NADE-k NeurIPS 2014 Learning a Concept Hierarchy from Multi-labeled Documents NeurIPS 2014 Learning Inhomogeneous FRAME Models for Object Patterns CVPR 2014 Learning Mixtures of Discrete Product Distributions using Spectral Decompositions COLT 2014 Learning to Disentangle Factors of Variation with Manifold Interaction ICML 2014 Localized Data Fusion for Kernel k-Means Clustering with Application to Cancer Biology NeurIPS 2014 Locally Linear Hashing for Extracting Non-Linear Manifolds CVPR 2014 Modeling Image Patches with a Generic Dictionary of Mini-Epitomes CVPR 2014 Modelling the Lexicon in Unsupervised Part of Speech Induction EACL 2014 New Learning Methods for Supervised and Unsupervised Preference Aggregation JMLR 2014 Non-convex Robust PCA NeurIPS 2014 Nonparametric Estimation of Multi-View Latent Variable Models ICML 2014