Ery Arias-Castro
7 papers · 2013–2025 · 2 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
Jump to papers ↓+1 more ↓ Show less ↑
π Conference Polyglot Β· Bronze π Academic Marathon Β· Half π Interdisciplinary Bridge Β· Silver πΊοΈ Taxonomy Completionist (11) π£ Hot Topic Early Bird
π
Trend Setter
Venues
Top co-authors
Research topics
Keywords
dimensionality reduction
(3)
gradient line
(2)
manifold learning
(2)
density estimation
(2)
gradient estimation
(2)
mean shift algorithm
(2)
nonparametric statistics
(1)
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