Ery Arias-Castro

21 catalog papers. Identity-linked publications and additional name matches are distinguished below.

ORCID: 0000-0002-3038-5736

Department of Mathematics and Halıcıoğlu Data Science Institute, University of California

Publications

• Embedding distributional data — The Annals of Statistics 2025
• Clustering by hill-climbing: Consistency results — The Annals of Statistics 2025
• Sparse anomaly detection across referentials: A rank-based higher criticism approach — The Annals of Statistics 2025
• An Axiomatic Definition of Hierarchical Clustering — Journal of Machine Learning Research 2025 (name-matched, not ORCID-linked)
• Anomaly Detection for a Large Number of Streams: A Permutation-Based Higher Criticism Approach — Journal of the American Statistical Association 2024
• Perturbation Bounds for Procrustes, Classical Scaling, and Trilateration, with Applications to Manifold Learning — Journal of Machine Learning Research 2020 (name-matched, not ORCID-linked)
• Minimax Estimation of the Volume of a Set Under the Rolling Ball Condition — Journal of the American Statistical Association 2019
• Distribution-Free Detection of Structured Anomalies: Permutation and Rank-Based Scans — Journal of the American Statistical Association 2018
• Spectral Clustering Based on Local PCA — Journal of Machine Learning Research 2017 (name-matched, not ORCID-linked)
• Detection and feature selection in sparse mixture models — The Annals of Statistics 2017
• On the Estimation of the Gradient Lines of a Density and the Consistency of the Mean-Shift Algorithm — Journal of Machine Learning Research 2016 (name-matched, not ORCID-linked)
• Discussion of “Influential features PCA for high dimensional clustering” — The Annals of Statistics 2016
• ERRATA: On the Estimation of the Gradient Lines of a Density and the Consistency of the Mean-Shift Algorithm — Journal of Machine Learning Research 2016 (name-matched, not ORCID-linked)
• Community detection in dense random networks — The Annals of Statistics 2014
• On the Convergence of Maximum Variance Unfolding — Journal of Machine Learning Research 2013 (name-matched, not ORCID-linked)
• Detection of correlations — The Annals of Statistics 2012
• Detection of an anomalous cluster in a network — The Annals of Statistics 2011
• Global testing under sparse alternatives: ANOVA, multiple comparisons and the higher criticism — The Annals of Statistics 2011
• Does median filtering truly preserve edges better than linear filtering? — The Annals of Statistics 2009
• Searching for a trail of evidence in a maze — The Annals of Statistics 2008
• Adaptive multiscale detection of filamentary structures in a background of uniform random points — The Annals of Statistics 2006