scientific article; zbMATH DE number 7236470

DOI10.4230/LIPIcs.SoCG.2018.66zbMath1489.62115MaRDI QIDQ5116526

Wai Ming Tai, Jeff M. Phillips

Publication date: 18 August 2020

Title: zbMATH Open Web Interface contents unavailable due to conflicting licenses.

zbMATH Keywords

discrepancykernel density estimatecoresets

Mathematics Subject Classification ID

Density estimation (62G07) Asymptotic properties of nonparametric inference (62G20) Classification and discrimination; cluster analysis (statistical aspects) (62H30) Nonparametric estimation (62G05)

Cites Work

• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Confidence sets for persistence diagrams
• Topological consistency via kernel estimation
• Generalized density clustering
• Kernel methods in machine learning
• Local outlier detection reconsidered: a generalized view on locality with applications to spatial, video, and network outlier detection
• Hilbert space embeddings and metrics on probability measures
• Algorithms for ε-Approximations of Terrains
• On Linear-Time Deterministic Algorithms for Optimization Problems in Fixed Dimension
• Decomposable searching problems I. Static-to-dynamic transformation
• Factorization Norms and Hereditary Discrepancy
• The Gram-Schmidt walk: a cure for the Banaszczyk blues
• Comparing distributions and shapes using the kernel distance
• ε-Samples for Kernels
• Geometric discrepancy. An illustrated guide

This page was built for publication: