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kernel density estimator

11 papers

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Also known as

KDE

Co-occurring keywords · papers mentioning both

kernel density estimation (4) density estimation (4) nonparametric estimation (3) bandwidth selection (2) mixture model (2) continuous-time gradient descent (1) stochastic gradient process (1) continuous data (1) adaptive clustering (1) level set estimate (1)

Papers

From Small Scales to Large Scales: Distance-to-Measure Density based Geometric Analysis of Complex Data JMLR 2024 On the sample complexity of conditional independence testing with Von Mises estimator with application to causal discovery ICML 2024 A Continuous-time Stochastic Gradient Descent Method for Continuous Data JMLR 2023 Adaptive Clustering Using Kernel Density Estimators JMLR 2023 Voronoi density estimator for high-dimensional data: Computation, compactification and convergence UAI 2022 Efficient Interpolation of Density Estimators AISTATS 2021 Consistent Estimation of Identifiable Nonparametric Mixture Models from Grouped Observations NeurIPS 2020 Uniform Convergence Rate of the Kernel Density Estimator Adaptive to Intrinsic Volume Dimension ICML 2019 Non-Parametric Bayesian Constrained Local Models CVPR 2014 Consistency of Robust Kernel Density Estimators COLT 2013 Density Estimation under Independent Similarly Distributed Sampling Assumptions NeurIPS 2007