Density Estimation

q-OCSVM: A q-Quantile Estimator for High-Dimensional Distributions NeurIPS 2013 RNADE: The real-valued neural autoregressive density-estimator NeurIPS 2013 Robust Low Rank Kernel Embeddings of Multivariate Distributions NeurIPS 2013 Density-Difference Estimation NeurIPS 2012 Ensemble weighted kernel estimators for multivariate entropy estimation NeurIPS 2012 Learning High-Density Regions for a Generalized Kolmogorov-Smirnov Test in High-Dimensional Data NeurIPS 2012 Natural Images, Gaussian Mixtures and Dead Leaves NeurIPS 2012 Persistent Homology for Learning Densities with Bounded Support NeurIPS 2012 A Non-Parametric Approach to Dynamic Programming NeurIPS 2011 Relative Density-Ratio Estimation for Robust Distribution Comparison NeurIPS 2011 Scalable Training of Mixture Models via Coresets NeurIPS 2011 Convex Multiple-Instance Learning by Estimating Likelihood Ratio NeurIPS 2010 Learning To Count Objects in Images NeurIPS 2010 Rates of convergence for the cluster tree NeurIPS 2010 Regularized estimation of image statistics by Score Matching NeurIPS 2010 Shadow Dirichlet for Restricted Probability Modeling NeurIPS 2010 Spectral Regularization for Support Estimation NeurIPS 2010 Submanifold density estimation NeurIPS 2009 Efficient Direct Density Ratio Estimation for Non-stationarity Adaptation and Outlier Detection NeurIPS 2008 Estimation of Information Theoretic Measures for Continuous Random Variables NeurIPS 2008 ICA based on a Smooth Estimation of the Differential Entropy NeurIPS 2008 Near-minimax recursive density estimation on the binary hypercube NeurIPS 2008 The Gaussian Process Density Sampler NeurIPS 2008 Density Estimation under Independent Similarly Distributed Sampling Assumptions NeurIPS 2007 Learning with Tree-Averaged Densities and Distributions NeurIPS 2007