density estimation

Near-Optimal Density Estimation in Near-Linear Time Using Variable-Width Histograms NeurIPS 2014 Near-Optimal-Sample Estimators for Spherical Gaussian Mixtures NeurIPS 2014 Nonparametric Estimation of Renyi Divergence and Friends ICML 2014 Optimal rates for k-NN density and mode estimation NeurIPS 2014 Sensory Integration and Density Estimation NeurIPS 2014 The Infinite Mixture of Infinite Gaussian Mixtures NeurIPS 2014 A simple example of Dirichlet process mixture inconsistency for the number of components NeurIPS 2013 Cluster Trees on Manifolds NeurIPS 2013 Data-driven Distributionally Robust Polynomial Optimization NeurIPS 2013 Density estimation from unweighted k-nearest neighbor graphs: a roadmap NeurIPS 2013 Fully-Connected CRFs with Non-Parametric Pairwise Potential CVPR 2013 Generalized Denoising Auto-Encoders as Generative Models NeurIPS 2013 Learning a Metric Space for Neighbourhood Topology Estimation: Application to Manifold Learning ACML 2013 Multiscale Dictionary Learning for Estimating Conditional Distributions NeurIPS 2013 q-OCSVM: A q-Quantile Estimator for High-Dimensional Distributions NeurIPS 2013 RNADE: The real-valued neural autoregressive density-estimator NeurIPS 2013 Robust Feature Matching with Alternate Hough and Inverted Hough Transforms CVPR 2013 Robust Low Rank Kernel Embeddings of Multivariate Distributions NeurIPS 2013 Scoring anomalies: a M-estimation formulation AISTATS 2013 Density-Difference Estimation NeurIPS 2012 Exponential Concentration for Mutual Information Estimation with Application to Forests NeurIPS 2012 Learning High-Density Regions for a Generalized Kolmogorov-Smirnov Test in High-Dimensional Data NeurIPS 2012 Local Kernel Density Ratio-Based Feature Selection for Outlier Detection ACML 2012 Persistent Homology for Learning Densities with Bounded Support NeurIPS 2012 Probabilistic Low-Rank Subspace Clustering NeurIPS 2012