density estimation

Learning with Tree-Averaged Densities and Distributions NeurIPS 2007 Maximum Entropy Density Estimation with Generalized Regularization and an Application to Species Distribution Modeling JMLR 2007 Learning from Multiple Sources NeurIPS 2006 Learning Minimum Volume Sets JMLR 2006 Lower Bounds and Aggregation in Density Estimation JMLR 2006 Mixture Regression for Covariate Shift NeurIPS 2006 On the Relation Between Low Density Separation, Spectral Clustering and Graph Cuts NeurIPS 2006 Simplifying Mixture Models through Function Approximation NeurIPS 2006 Stratification Learning: Detecting Mixed Density and Dimensionality in High Dimensional Point Clouds NeurIPS 2006 Estimation of Non-Normalized Statistical Models by Score Matching JMLR 2005 A Maximum Likelihood Approach to Single-channel Source Separation JMLR 2003 Variational Learning of Clusters of Undercomplete Nonsymmetric Independent Components JMLR 2002 Learning with Mixtures of Trees JMLR 2000