Ery Arias-Castro

According to our database1, Ery Arias-Castro authored at least 30 papers between 2005 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Links

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Bibliography

2024
An Axiomatic Definition of Hierarchical Clustering.
CoRR, 2024

2023
Moving Up the Cluster Tree with the Gradient Flow.
SIAM J. Math. Data Sci., June, 2023

Stability of Sequential Lateration and of Stress Minimization in the Presence of Noise.
CoRR, 2023

2022
Template Matching and Change Point Detection by M-Estimation.
IEEE Trans. Inf. Theory, 2022

Embedding Functional Data: Multidimensional Scaling and Manifold Learning.
CoRR, 2022

2021
An Asymptotic Equivalence between the Mean-Shift Algorithm and the Cluster Tree.
CoRR, 2021

On the Consistency of Metric and Non-Metric K-Medoids.
Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

2020
Perturbation Bounds for Procrustes, Classical Scaling, and Trilateration, with Applications to Manifold Learning.
J. Mach. Learn. Res., 2020

Minimax Estimation of Distances on a Surface and Minimax Manifold Learning in the Isometric-to-Convex Setting.
CoRR, 2020

2019
Unconstrained and Curvature-Constrained Shortest-Path Distances and Their Approximation.
Discret. Comput. Geom., 2019

A Multiscale Scan Statistic for Adaptive Submatrix Localization.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

2017
Distribution-free detection of a submatrix.
J. Multivar. Anal., 2017

Spectral Clustering Based on Local PCA.
J. Mach. Learn. Res., 2017

A simple approach to sparse clustering.
Comput. Stat. Data Anal., 2017

2016
ERRATA: On the Estimation of the Gradient Lines of a Density and the Consistency of the Mean-Shift Algorithm.
J. Mach. Learn. Res., 2016

On the Estimation of the Gradient Lines of a Density and the Consistency of the Mean-Shift Algorithm.
J. Mach. Learn. Res., 2016

A nonparametric framework for quantifying generative inference on neuromorphic systems.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2016

2015
Detection of Long Edges on a Computational Budget: A Sublinear Approach.
SIAM J. Imaging Sci., 2015

2013
On the Fundamental Limits of Adaptive Sensing.
IEEE Trans. Inf. Theory, 2013

Introduction to the issue on anomalous pattern discovery for spatial, temporal, networked, and high-dimensional signals.
IEEE J. Sel. Top. Signal Process., 2013

On the convergence of maximum variance unfolding.
J. Mach. Learn. Res., 2013

2012
Oracle Inequalities and Minimax Rates for Nonlocal Means and Related Adaptive Kernel-Based Methods.
SIAM J. Imaging Sci., 2012

A two-stage denoising filter: The preprocessed Yaroslavsky filter.
Proceedings of the IEEE Statistical Signal Processing Workshop, 2012

Compressive binary search.
Proceedings of the 2012 IEEE International Symposium on Information Theory, 2012

2011
Clustering Based on Pairwise Distances When the Data is of Mixed Dimensions.
IEEE Trans. Inf. Theory, 2011

Noise Folding in Compressed Sensing.
IEEE Signal Process. Lett., 2011

Detecting a Vector Based on Linear Measurements
CoRR, 2011

Oracle inequalities and minimax rates for non-local means and related adaptive kernel-based methods
CoRR, 2011

2010
Networks of polynomial pieces with application to the analysis of point clouds and images.
J. Approx. Theory, 2010

2005
Near-optimal detection of geometric objects by fast multiscale methods.
IEEE Trans. Inf. Theory, 2005


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