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Clustering

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Papers

Moment-based Uniform Deviation Bounds for $k$-means and Friends NIPS 2013
A Latent Source Model for Nonparametric Time Series Classification NIPS 2013
Optimistic Concurrency Control for Distributed Unsupervised Learning NIPS 2013
Nonparametric Multi-group Membership Model for Dynamic Networks NIPS 2013
Stochastic blockmodel approximation of a graphon: Theory and consistent estimation NIPS 2013
Parallel Sampling of DP Mixture Models using Sub-Cluster Splits NIPS 2013
Summary Statistics for Partitionings and Feature Allocations NIPS 2013
Scoring Workers in Crowdsourcing: How Many Control Questions are Enough? NIPS 2013
Cluster Trees on Manifolds NIPS 2013
Rapid Distance-Based Outlier Detection via Sampling NIPS 2013
Memoized Online Variational Inference for Dirichlet Process Mixture Models NIPS 2013
Binary to Bushy: Bayesian Hierarchical Clustering with the Beta Coalescent NIPS 2013
Density estimation from unweighted k-nearest neighbor graphs: a roadmap NIPS 2013
k-Prototype Learning for 3D Rigid Structures NIPS 2013
Provable Subspace Clustering: When LRR meets SSC NIPS 2013
Using multiple samples to learn mixture models NIPS 2013
Lexical and Hierarchical Topic Regression NIPS 2013
A simple example of Dirichlet process mixture inconsistency for the number of components NIPS 2013
Mid-level Visual Element Discovery as Discriminative Mode Seeking NIPS 2013
Polynomial Runtime Bounds for Fixed-Rank Unsupervised Least-Squares Classification ACML 2013
Bayesian learning of joint distributions of objects AISTATS 2013
Clustering Oligarchies AISTATS 2013
Why Steiner-tree type algorithms work for community detection AISTATS 2013
Mixed LICORS: A Nonparametric Algorithm for Predictive State Reconstruction AISTATS 2013
Unsupervised Link Selection in Networks AISTATS 2013