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kernel density estimation

80 papers

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Also known as

KDE

Co-occurring keywords

nonparametric estimation (98) density estimation (398) generative adversarial network (1944) kernel density estimator (10) reinforcement learning (4352) probability density (31) robust estimation (168) clustering algorithm (206) cluster tree (9) convergence rate (607)

Papers

Frustratingly Easy Model Ensemble for Abstractive Summarization EMNLP 2018
Non-parametric estimation of Jensen-Shannon Divergence in Generative Adversarial Network training AISTATS 2018
Kernel Density Estimation for Dynamical Systems JMLR 2018
Uniform Convergence Rates for Kernel Density Estimation ICML 2017
Product Manifold Filter: Non-Rigid Shape Correspondence via Kernel Density Estimation in the Product Space CVPR 2017
On the Consistency of Quick Shift NIPS 2017
LoCaTe: Influence Quantification for Location Promotion in Location-based Social Networks IJCAI 2017
On the Estimation of the Gradient Lines of a Density and the Consistency of the Mean-Shift Algorithm JMLR 2016
Efficient Nonparametric Smoothness Estimation NIPS 2016
Learning Theory for Distribution Regression JMLR 2016
Nonparametric Canonical Correlation Analysis ICML 2016
Improved Regret Bounds for Undiscounted Continuous Reinforcement Learning ICML 2015
A Novel Locally Linear KNN Model for Visual Recognition CVPR 2015
Beyond Gauss: Image-Set Matching on the Riemannian Manifold of PDFs ICCV 2015
Plug-and-Play Dual-Tree Algorithm Runtime Analysis JMLR 2015
On a Theory of Nonparametric Pairwise Similarity for Clustering: Connecting Clustering to Classification NIPS 2014
Robust Kernel Density Estimation by Scaling and Projection in Hilbert Space NIPS 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 NIPS 2012
Robust Kernel Density Estimation JMLR 2012
Semiparametric Pseudo-Likelihood Estimation in Markov Random Fields AISTATS 2012
Stability of Density-Based Clustering JMLR 2012
CAKE: Convex Adaptive Kernel Density Estimation AISTATS 2011