kernel density estimation

Efficient Nonparametric Smoothness Estimation NeurIPS 2016 Learning Theory for Distribution Regression JMLR 2016 Nonparametric Canonical Correlation Analysis ICML 2016 On the Estimation of the Gradient Lines of a Density and the Consistency of the Mean-Shift Algorithm JMLR 2016 A Novel Locally Linear KNN Model for Visual Recognition CVPR 2015 Beyond Gauss: Image-Set Matching on the Riemannian Manifold of PDFs ICCV 2015 Improved Regret Bounds for Undiscounted Continuous Reinforcement Learning ICML 2015 Plug-and-Play Dual-Tree Algorithm Runtime Analysis JMLR 2015 On a Theory of Nonparametric Pairwise Similarity for Clustering: Connecting Clustering to Classification NeurIPS 2014 Robust Kernel Density Estimation by Scaling and Projection in Hilbert Space NeurIPS 2014 Asymptotic Results on Adaptive False Discovery Rate Controlling Procedures Based on Kernel Estimators JMLR 2013 Consistency of Robust Kernel Density Estimators COLT 2013 Differential Privacy for Functions and Functional Data JMLR 2013 Ensemble weighted kernel estimators for multivariate entropy estimation NeurIPS 2012 Robust Kernel Density Estimation JMLR 2012 Semiparametric Pseudo-Likelihood Estimation in Markov Random Fields AISTATS 2012 Stability of Density-Based Clustering JMLR 2012 A Non-Parametric Approach to Dynamic Programming NeurIPS 2011 CAKE: Convex Adaptive Kernel Density Estimation AISTATS 2011 Locally Defined Principal Curves and Surfaces JMLR 2011 Efficient Bregman Range Search NeurIPS 2009 Submanifold density estimation NeurIPS 2009 Performance analysis for L\_2 kernel classification NeurIPS 2008 A Nonparametric Statistical Approach to Clustering via Mode Identification JMLR 2007