Ery Arias-Castro

Publication Activity (10 Years)

Years Active: 2005-2024
Publications (10 Years): 20

Top Topics

Manifold Learning

Dimension Reduction

Top Venues

J. Mach. Learn. Res.

IEEE Trans. Inf. Theory

Publications

Ery Arias-Castro, Elizabeth Coda
An Axiomatic Definition of Hierarchical Clustering. CoRR (2024)
Ery Arias-Castro, Phong Alain Chau
Stability of Sequential Lateration and of Stress Minimization in the Presence of Noise. CoRR (2023)
Ery Arias-Castro, Wanli Qiao
Moving Up the Cluster Tree with the Gradient Flow. SIAM J. Math. Data Sci. 5 (2) (2023)
Ery Arias-Castro, Lin Zheng
Template Matching and Change Point Detection by M-Estimation. IEEE Trans. Inf. Theory 68 (1) (2022)
Ery Arias-Castro, Wanli Qiao
Embedding Functional Data: Multidimensional Scaling and Manifold Learning. CoRR (2022)
Ery Arias-Castro, Wanli Qiao
An Asymptotic Equivalence between the Mean-Shift Algorithm and the Cluster Tree. CoRR (2021)
He Jiang, Ery Arias-Castro
On the Consistency of Metric and Non-Metric K-Medoids. AISTATS (2021)
Ery Arias-Castro, Phong Alain Chau
Minimax Estimation of Distances on a Surface and Minimax Manifold Learning in the Isometric-to-Convex Setting. CoRR (2020)
Ery Arias-Castro, Adel Javanmard, Bruno Pelletier
Perturbation Bounds for Procrustes, Classical Scaling, and Trilateration, with Applications to Manifold Learning. J. Mach. Learn. Res. 21 (2020)
Ery Arias-Castro, Thibaut Le Gouic
Unconstrained and Curvature-Constrained Shortest-Path Distances and Their Approximation. Discret. Comput. Geom. 62 (1) (2019)
Yuchao Liu, Ery Arias-Castro
A Multiscale Scan Statistic for Adaptive Submatrix Localization. KDD (2019)
Ery Arias-Castro, Adel Javanmard, Bruno Pelletier
Perturbation Bounds for Procrustes, Classical Scaling, and Trilateration, with Applications to Manifold Learning. CoRR (2018)
Ery Arias-Castro, Xiao Pu
A simple approach to sparse clustering. Comput. Stat. Data Anal. 105 (2017)
Ery Arias-Castro, Yuchao Liu
Distribution-free detection of a submatrix. J. Multivar. Anal. 156 (2017)
Ery Arias-Castro, Gilad Lerman, Teng Zhang
Spectral Clustering Based on Local PCA. J. Mach. Learn. Res. 18 (2017)
Ery Arias-Castro, Thibaut Le Gouic
Unconstrained and Curvature-Constrained Shortest-Path Distances and their Approximation. CoRR (2017)
Ojash Neopane, Srinjoy Das, Ery Arias-Castro, Kenneth Kreutz-Delgado
A nonparametric framework for quantifying generative inference on neuromorphic systems. ISCAS (2016)
Ery Arias-Castro, David Mason, Bruno Pelletier
On the Estimation of the Gradient Lines of a Density and the Consistency of the Mean-Shift Algorithm. J. Mach. Learn. Res. 17 (2016)
Ery Arias-Castro, David Mason, Bruno Pelletier
ERRATA: On the Estimation of the Gradient Lines of a Density and the Consistency of the Mean-Shift Algorithm. J. Mach. Learn. Res. 17 (2016)
Ojash Neopane, Srinjoy Das, Ery Arias-Castro, Kenneth Kreutz-Delgado
A Nonparametric Framework for Quantifying Generative Inference on Neuromorphic Systems. CoRR (2016)
Inbal Horev, Boaz Nadler, Ery Arias-Castro, Meirav Galun, Ronen Basri
Detection of Long Edges on a Computational Budget: A Sublinear Approach. SIAM J. Imaging Sci. 8 (1) (2015)
Ery Arias-Castro, Bruno Pelletier
On the convergence of maximum variance unfolding. J. Mach. Learn. Res. 14 (1) (2013)
Ery Arias-Castro, Emmanuel J. Candès, Mark A. Davenport
On the Fundamental Limits of Adaptive Sensing. IEEE Trans. Inf. Theory 59 (1) (2013)
Venkatesh Saligrama, Ery Arias-Castro, Rama Chellappa, Alfred O. Hero III, Robert D. Nowak, Venugopal V. Veeravalli
Introduction to the issue on anomalous pattern discovery for spatial, temporal, networked, and high-dimensional signals. IEEE J. Sel. Top. Signal Process. 7 (1) (2013)
Mark A. Davenport, Ery Arias-Castro
Compressive binary search CoRR (2012)
Mark A. Davenport, Ery Arias-Castro
Compressive binary search. ISIT (2012)
Joseph Salmon, Rebecca Willett, Ery Arias-Castro
A two-stage denoising filter: The preprocessed Yaroslavsky filter. SSP (2012)
Ery Arias-Castro, Joseph Salmon, Rebecca Willett
Oracle Inequalities and Minimax Rates for Nonlocal Means and Related Adaptive Kernel-Based Methods. SIAM J. Imaging Sci. 5 (3) (2012)
Joseph Salmon, Rebecca Willett, Ery Arias-Castro
A two-stage denoising filter: the preprocessed Yaroslavsky filter CoRR (2012)
Ery Arias-Castro
Clustering Based on Pairwise Distances When the Data is of Mixed Dimensions. IEEE Trans. Inf. Theory 57 (3) (2011)
Ery Arias-Castro
Detecting a Vector Based on Linear Measurements CoRR (2011)
Ery Arias-Castro, Yonina C. Eldar
Noise Folding in Compressed Sensing. IEEE Signal Process. Lett. 18 (8) (2011)
Ery Arias-Castro, Yonina C. Eldar
Noise Folding in Compressed Sensing CoRR (2011)
Ery Arias-Castro, Emmanuel J. Candès, Mark A. Davenport
On the Fundamental Limits of Adaptive Sensing CoRR (2011)
Ery Arias-Castro, Joseph Salmon, Rebecca Willett
Oracle inequalities and minimax rates for non-local means and related adaptive kernel-based methods CoRR (2011)
Ery Arias-Castro, Boris Efros, Ofer Levi
Networks of polynomial pieces with application to the analysis of point clouds and images. J. Approx. Theory 162 (1) (2010)
Ery Arias-Castro, David L. Donoho, Xiaoming Huo
Near-optimal detection of geometric objects by fast multiscale methods. IEEE Trans. Inf. Theory 51 (7) (2005)