Unsupervised Learning

Sparse Manifold Clustering and Embedding NeurIPS 2011 Spatial distance dependent Chinese restaurant processes for image segmentation NeurIPS 2011 Spectral Chinese Restaurant Processes: Nonparametric Clustering Based on Similarities AISTATS 2011 Structural equations and divisive normalization for energy-dependent component analysis NeurIPS 2011 The Doubly Correlated Nonparametric Topic Model NeurIPS 2011 The Stationary Subspace Analysis Toolbox JMLR 2011 Unifying Non-Maximum Likelihood Learning Objectives with Minimum KL Contraction NeurIPS 2011 Unsupervised learning models of primary cortical receptive fields and receptive field plasticity NeurIPS 2011 Unsupervised Multiple Kernel Learning ACML 2011 Unsupervised Similarity-Based Risk Stratification for Cardiovascular Events Using Long-Term Time-Series Data JMLR 2011 Unsupervised Supervised Learning II: Margin-Based Classification without Labels AISTATS 2011 Variational Learning for Recurrent Spiking Networks NeurIPS 2011 Conditional Density Estimation via Least-Squares Density Ratio Estimation AISTATS 2010 Covariance in Unsupervised Learning of Probabilistic Grammars JMLR 2010 Deciphering subsampled data: adaptive compressive sampling as a principle of brain communication NeurIPS 2010 Dirichlet Process Mixtures of Generalized Linear Models AISTATS 2010 Discriminative Clustering by Regularized Information Maximization NeurIPS 2010 Dynamic Infinite Relational Model for Time-varying Relational Data Analysis NeurIPS 2010 Efficient Learning of Deep Boltzmann Machines AISTATS 2010 Efficient Relational Learning with Hidden Variable Detection NeurIPS 2010 Expectation Truncation and the Benefits of Preselection In Training Generative Models JMLR 2010 Fast Large-scale Mixture Modeling with Component-specific Data Partitions NeurIPS 2010 Feature Set Embedding for Incomplete Data NeurIPS 2010 Global seismic monitoring as probabilistic inference NeurIPS 2010 Hubs in Space: Popular Nearest Neighbors in High-Dimensional Data JMLR 2010