Clustering

Fast Computation of Wasserstein Barycenters ICML 2014 Faster and Sample Near-Optimal Algorithms for Proper Learning Mixtures of Gaussians COLT 2014 Feedforward Learning of Mixture Models NeurIPS 2014 Finding Dense Subgraphs via Low-Rank Bilinear Optimization ICML 2014 Graph Clustering With Missing Data: Convex Algorithms and Analysis NeurIPS 2014 Greedy Subspace Clustering NeurIPS 2014 Grouping-Based Low-Rank Trajectory Completion and 3D Reconstruction NeurIPS 2014 Hierarchical Quasi-Clustering Methods for Asymmetric Networks ICML 2014 Improved Distributed Principal Component Analysis NeurIPS 2014 Incremental Clustering: The Case for Extra Clusters NeurIPS 2014 Incremental Tree-Based Inference with Dependent Normalized Random Measures AISTATS 2014 Joint Summarization of Large-scale Collections of Web Images and Videos for Storyline Reconstruction CVPR 2014 K-means recovers ICA filters when independent components are sparse ICML 2014 Large-Margin Metric Learning for Constrained Partitioning Problems ICML 2014 Latent Bandits. ICML 2014 Learning a Concept Hierarchy from Multi-labeled Documents NeurIPS 2014 Learning Mixed Multinomial Logit Model from Ordinal Data NeurIPS 2014 Learning Mixtures of Discrete Product Distributions using Spectral Decompositions COLT 2014 Learning Mixtures of Ranking Models NeurIPS 2014 Learning Sum-Product Networks with Direct and Indirect Variable Interactions ICML 2014 Learning to Group Objects CVPR 2014 Local algorithms for interactive clustering ICML 2014 Localized Data Fusion for Kernel k-Means Clustering with Application to Cancer Biology NeurIPS 2014 Mode Estimation for High Dimensional Discrete Tree Graphical Models NeurIPS 2014 Multi-feature Spectral Clustering with Minimax Optimization CVPR 2014