Near-optimal detection of geometric objects by fast multiscale methods. - Ery Arias-Castro; David L. Donoho; Xiaoming Huo (IEEE Trans. Inf. Theory, 2005)

Networks of polynomial pieces with application to the analysis of point clouds and images. - Ery Arias-Castro; Boris Efros; Ofer Levi (J. Approx. Theory, 2010)

Oracle inequalities and minimax rates for non-local means and related adaptive kernel-based methods - Ery Arias-Castro; Joseph Salmon; Rebecca Willett (CoRR, 2011)

Detecting a Vector Based on Linear Measurements - Ery Arias-Castro (CoRR, 2011)

Noise Folding in Compressed Sensing. - Ery Arias-Castro; Yonina C. Eldar (IEEE Signal Process. Lett., 2011)

Clustering Based on Pairwise Distances When the Data is of Mixed Dimensions. - Ery Arias-Castro (IEEE Trans. Inf. Theory, 2011)

Compressive binary search. - Mark A. Davenport; Ery Arias-Castro (ISIT, 2012)

A two-stage denoising filter: The preprocessed Yaroslavsky filter. - Joseph Salmon; Rebecca Willett; Ery Arias-Castro (SSP, 2012)

Oracle Inequalities and Minimax Rates for Nonlocal Means and Related Adaptive Kernel-Based Methods. - Ery Arias-Castro; Joseph Salmon; Rebecca Willett (SIAM J. Imaging Sci., 2012)

On the convergence of maximum variance unfolding. - Ery Arias-Castro; Bruno Pelletier (J. Mach. Learn. Res., 2013)

Introduction to the issue on anomalous pattern discovery for spatial, temporal, networked, and high-dimensional signals. - Venkatesh Saligrama; Ery Arias-Castro; Rama Chellappa; Alfred O. Hero III; Robert D. Nowak; Venugopal V. Veeravalli (IEEE J. Sel. Top. Signal Process., 2013)

On the Fundamental Limits of Adaptive Sensing. - Ery Arias-Castro; Emmanuel J. Candès; Mark A. Davenport (IEEE Trans. Inf. Theory, 2013)

Detection of Long Edges on a Computational Budget: A Sublinear Approach. - Inbal Horev; Boaz Nadler; Ery Arias-Castro; Meirav Galun; Ronen Basri (SIAM J. Imaging Sci., 2015)

A nonparametric framework for quantifying generative inference on neuromorphic systems. - Ojash Neopane; Srinjoy Das; Ery Arias-Castro; Kenneth Kreutz-Delgado (ISCAS, 2016)

On the Estimation of the Gradient Lines of a Density and the Consistency of the Mean-Shift Algorithm. - Ery Arias-Castro; David Mason; Bruno Pelletier (J. Mach. Learn. Res., 2016)

ERRATA: On the Estimation of the Gradient Lines of a Density and the Consistency of the Mean-Shift Algorithm. - Ery Arias-Castro; David Mason; Bruno Pelletier (J. Mach. Learn. Res., 2016)

A simple approach to sparse clustering. - Ery Arias-Castro; Xiao Pu 004 (Comput. Stat. Data Anal., 2017)

Spectral Clustering Based on Local PCA. - Ery Arias-Castro; Gilad Lerman; Teng Zhang 002 (J. Mach. Learn. Res., 2017)

Distribution-free detection of a submatrix. - Ery Arias-Castro; Yuchao Liu (J. Multivar. Anal., 2017)

A Multiscale Scan Statistic for Adaptive Submatrix Localization. - Yuchao Liu; Ery Arias-Castro (KDD, 2019)

Unconstrained and Curvature-Constrained Shortest-Path Distances and Their Approximation. - Ery Arias-Castro; Thibaut Le Gouic (Discret. Comput. Geom., 2019)

Minimax Estimation of Distances on a Surface and Minimax Manifold Learning in the Isometric-to-Convex Setting. - Ery Arias-Castro; Phong Alain Chau (CoRR, 2020)

Perturbation Bounds for Procrustes, Classical Scaling, and Trilateration, with Applications to Manifold Learning. - Ery Arias-Castro; Adel Javanmard; Bruno Pelletier (J. Mach. Learn. Res., 2020)

On the Consistency of Metric and Non-Metric K-Medoids. - He Jiang; Ery Arias-Castro (AISTATS, 2021)

An Asymptotic Equivalence between the Mean-Shift Algorithm and the Cluster Tree. - Ery Arias-Castro; Wanli Qiao (CoRR, 2021)

Embedding Functional Data: Multidimensional Scaling and Manifold Learning. - Ery Arias-Castro; Wanli Qiao (CoRR, 2022)

Template Matching and Change Point Detection by M-Estimation. - Ery Arias-Castro; Lin Zheng 004 (IEEE Trans. Inf. Theory, 2022)

Stability of Sequential Lateration and of Stress Minimization in the Presence of Noise. - Ery Arias-Castro; Phong Alain Chau (CoRR, 2023)

Moving Up the Cluster Tree with the Gradient Flow. - Ery Arias-Castro; Wanli Qiao (SIAM J. Math. Data Sci., 2023)

An Axiomatic Definition of Hierarchical Clustering. - Ery Arias-Castro; Elizabeth Coda (CoRR, 2024)

Graph Max Shift: A Hill-Climbing Method for Graph Clustering. - Ery Arias-Castro; Elizabeth Coda; Wanli Qiao (CoRR, 2024)

Stability of Sequential Lateration and of Stress Minimization in the Presence of Noise. - Ery Arias-Castro; Siddharth Vishwanath (SIAM J. Math. Data Sci., 2025)

Minimax Optimality of Classical Scaling Under General Noise Conditions. - Siddharth Vishwanath; Ery Arias-Castro (CoRR, 2025)