Ery Arias-Castro

44 papers A* 1A 1B 1C 1Journal 39Unranked 1
YearRankTypeTitle / Venue / Authors
2025 J jnl
An Axiomatic Definition of Hierarchical Clustering.
J. Mach. Learn. Res.
Ery Arias-Castro, Elizabeth Coda
2025 J jnl
Cluster and then Embed: A Modular Approach for Visualization.
CoRR
Elizabeth Coda, Ery Arias-Castro, Gal Mishne
2025 J jnl
Confidence Sets for Multidimensional Scaling.
CoRR
Siddharth Vishwanath, Ery Arias-Castro
2025 J jnl
Minimax Optimality of Classical Scaling Under General Noise Conditions.
CoRR
Siddharth Vishwanath, Ery Arias-Castro
2025 J jnl
Stability of Sequential Lateration and of Stress Minimization in the Presence of Noise.
SIAM J. Math. Data Sci.
Ery Arias-Castro, Siddharth Vishwanath
2025 J jnl
Theoretical Foundations of Ordinal Multidimensional Scaling, Including Internal Unfolding and External Unfolding.
SIAM J. Math. Data Sci.
Ery Arias-Castro, Clément Berenfeld, Daniel Kane
2024 J jnl
An Axiomatic Definition of Hierarchical Clustering.
CoRR
Ery Arias-Castro, Elizabeth Coda
2024 J jnl
Graph Max Shift: A Hill-Climbing Method for Graph Clustering.
CoRR
Ery Arias-Castro, Elizabeth Coda, Wanli Qiao
2023 J jnl
Moving Up the Cluster Tree with the Gradient Flow.
SIAM J. Math. Data Sci.
Ery Arias-Castro, Wanli Qiao
2023 J jnl
Stability of Sequential Lateration and of Stress Minimization in the Presence of Noise.
CoRR
Ery Arias-Castro, Phong Alain Chau
2022 J jnl
Embedding Functional Data: Multidimensional Scaling and Manifold Learning.
CoRR
Ery Arias-Castro, Wanli Qiao
2022 J jnl
Template Matching and Change Point Detection by M-Estimation.
IEEE Trans. Inf. Theory
Ery Arias-Castro, Lin Zheng
2021 J jnl
An Asymptotic Equivalence between the Mean-Shift Algorithm and the Cluster Tree.
CoRR
Ery Arias-Castro, Wanli Qiao
2021 A conf
On the Consistency of Metric and Non-Metric K-Medoids.
AISTATS
He Jiang, Ery Arias-Castro
2020 J jnl
Minimax Estimation of Distances on a Surface and Minimax Manifold Learning in the Isometric-to-Convex Setting.
CoRR
Ery Arias-Castro, Phong Alain Chau
2020 J jnl
Perturbation Bounds for Procrustes, Classical Scaling, and Trilateration, with Applications to Manifold Learning.
J. Mach. Learn. Res.
Ery Arias-Castro, Adel Javanmard, Bruno Pelletier
2019 A* conf
A Multiscale Scan Statistic for Adaptive Submatrix Localization.
KDD
Yuchao Liu, Ery Arias-Castro
2019 J jnl
Unconstrained and Curvature-Constrained Shortest-Path Distances and Their Approximation.
Discret. Comput. Geom.
Ery Arias-Castro, Thibaut Le Gouic
2018 J jnl
Perturbation Bounds for Procrustes, Classical Scaling, and Trilateration, with Applications to Manifold Learning.
CoRR
Ery Arias-Castro, Adel Javanmard, Bruno Pelletier
2017 J jnl
A simple approach to sparse clustering.
Comput. Stat. Data Anal.
Ery Arias-Castro, Xiao Pu
2017 J jnl
Distribution-free detection of a submatrix.
J. Multivar. Anal.
Ery Arias-Castro, Yuchao Liu
2017 J jnl
Spectral Clustering Based on Local PCA.
J. Mach. Learn. Res.
Ery Arias-Castro, Gilad Lerman, Teng Zhang
2017 J jnl
Unconstrained and Curvature-Constrained Shortest-Path Distances and their Approximation.
CoRR
Ery Arias-Castro, Thibaut Le Gouic
2016 J jnl
A Nonparametric Framework for Quantifying Generative Inference on Neuromorphic Systems.
CoRR
Ojash Neopane, Srinjoy Das, Ery Arias-Castro, Kenneth Kreutz-Delgado
2016 C conf
A nonparametric framework for quantifying generative inference on neuromorphic systems.
ISCAS
Ojash Neopane, Srinjoy Das, Ery Arias-Castro, Kenneth Kreutz-Delgado
2016 J jnl
ERRATA: On the Estimation of the Gradient Lines of a Density and the Consistency of the Mean-Shift Algorithm.
J. Mach. Learn. Res.
Ery Arias-Castro, David Mason, Bruno Pelletier
2016 J jnl
On the Estimation of the Gradient Lines of a Density and the Consistency of the Mean-Shift Algorithm.
J. Mach. Learn. Res.
Ery Arias-Castro, David Mason, Bruno Pelletier
2015 J jnl
Detection of Long Edges on a Computational Budget: A Sublinear Approach.
SIAM J. Imaging Sci.
Inbal Horev, Boaz Nadler, Ery Arias-Castro, Meirav Galun, Ronen Basri
2013 J jnl
Introduction to the issue on anomalous pattern discovery for spatial, temporal, networked, and high-dimensional signals.
IEEE J. Sel. Top. Signal Process.
Venkatesh Saligrama, Ery Arias-Castro, Rama Chellappa, Alfred O. Hero III, Robert D. Nowak, Venugopal V. Veeravalli
2013 J jnl
On the Fundamental Limits of Adaptive Sensing.
IEEE Trans. Inf. Theory
Ery Arias-Castro, Emmanuel J. Candès, Mark A. Davenport
2013 J jnl
On the convergence of maximum variance unfolding.
J. Mach. Learn. Res.
Ery Arias-Castro, Bruno Pelletier
2012 — conf
A two-stage denoising filter: The preprocessed Yaroslavsky filter.
SSP
Joseph Salmon, Rebecca Willett, Ery Arias-Castro
2012 J jnl
A two-stage denoising filter: the preprocessed Yaroslavsky filter
CoRR
Joseph Salmon, Rebecca Willett, Ery Arias-Castro
2012 J jnl
Compressive binary search
CoRR
Mark A. Davenport, Ery Arias-Castro
2012 B conf
Compressive binary search.
ISIT
Mark A. Davenport, Ery Arias-Castro
2012 J jnl
Oracle Inequalities and Minimax Rates for Nonlocal Means and Related Adaptive Kernel-Based Methods.
SIAM J. Imaging Sci.
Ery Arias-Castro, Joseph Salmon, Rebecca Willett
2011 J jnl
Clustering Based on Pairwise Distances When the Data is of Mixed Dimensions.
IEEE Trans. Inf. Theory
Ery Arias-Castro
2011 J jnl
Detecting a Vector Based on Linear Measurements
CoRR
Ery Arias-Castro
2011 J jnl
Noise Folding in Compressed Sensing
CoRR
Ery Arias-Castro, Yonina C. Eldar
2011 J jnl
Noise Folding in Compressed Sensing.
IEEE Signal Process. Lett.
Ery Arias-Castro, Yonina C. Eldar
2011 J jnl
On the Fundamental Limits of Adaptive Sensing
CoRR
Ery Arias-Castro, Emmanuel J. Candès, Mark A. Davenport
2011 J jnl
Oracle inequalities and minimax rates for non-local means and related adaptive kernel-based methods
CoRR
Ery Arias-Castro, Joseph Salmon, Rebecca Willett
2010 J jnl
Networks of polynomial pieces with application to the analysis of point clouds and images.
J. Approx. Theory
Ery Arias-Castro, Boris Efros, Ofer Levi
2005 J jnl
Near-optimal detection of geometric objects by fast multiscale methods.
IEEE Trans. Inf. Theory
Ery Arias-Castro, David L. Donoho, Xiaoming Huo