← Authors

Ery Arias-Castro

7 papers · 2013–2025 · 2 conferences · across top CS/AI conferences

Achievements

πŸŒ‰ Interdisciplinary Bridge 🧭 Keyword Pioneer 🌍 Conference Polyglot (2) πŸƒ Academic Marathon (12) 🐝 Cross-Pollinator (9) πŸ—ΊοΈ Taxonomy Completionist (11) 🐣 Hot Topic Early Bird

Conferences

JMLR (6) AISTATS (1)

Top co-authors

Bruno Pelletier (4) David Mason (2) Teng Zhang (1) Elizabeth Coda (1) He Jiang (1) Gilad Lerman (1) Adel Javanmard (1)

Research topics

Statistics (1)

Keywords

dimensionality reduction (3) gradient line (2) density estimation (2) manifold learning (2) mean-shift algorithm (2) mean shift algorithm (2) gradient estimation (2) maximum variance unfolding (1) asymptotic equivalence (1) kernel density estimation (1) manifold clustering (1) cluster tree (1) convergence rate (1) principal subspace (1) metric space (1) nonlinear dimensionality reduction (1) axiomatic approach (1) multi-manifold clustering (1) piecewise constant density (1) hartigan consistency (1)

Papers

An Axiomatic Definition of Hierarchical Clustering JMLR 2025
On the Consistency of Metric and Non-Metric K-Medoids AISTATS 2021
Perturbation Bounds for Procrustes, Classical Scaling, and Trilateration, with Applications to Manifold Learning JMLR 2020
Spectral Clustering Based on Local PCA JMLR 2017
ERRATA: On the Estimation of the Gradient Lines of a Density and the Consistency of the Mean-Shift Algorithm JMLR 2016
On the Estimation of the Gradient Lines of a Density and the Consistency of the Mean-Shift Algorithm JMLR 2016
On the Convergence of Maximum Variance Unfolding JMLR 2013