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Ery Arias-Castro
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2020 – today
- 2024
- [i14]Ery Arias-Castro, Elizabeth Coda:
An Axiomatic Definition of Hierarchical Clustering. CoRR abs/2407.03574 (2024) - 2023
- [j18]Ery Arias-Castro, Wanli Qiao
:
Moving Up the Cluster Tree with the Gradient Flow. SIAM J. Math. Data Sci. 5(2): 400-421 (2023) - [i13]Ery Arias-Castro, Phong Alain Chau:
Stability of Sequential Lateration and of Stress Minimization in the Presence of Noise. CoRR abs/2310.10900 (2023) - 2022
- [j17]Ery Arias-Castro, Lin Zheng
Template Matching and Change Point Detection by M-Estimation. IEEE Trans. Inf. Theory 68(1): 423-447 (2022) - [i12]Ery Arias-Castro, Wanli Qiao:
Embedding Functional Data: Multidimensional Scaling and Manifold Learning. CoRR abs/2208.14540 (2022) - 2021
- [c5]He Jiang, Ery Arias-Castro:
On the Consistency of Metric and Non-Metric K-Medoids. AISTATS 2021: 2485-2493 - [i11]Ery Arias-Castro, Wanli Qiao:
An Asymptotic Equivalence between the Mean-Shift Algorithm and the Cluster Tree. CoRR abs/2111.10298 (2021) - 2020
- [j16]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: 15:1-15:37 (2020) - [i10]Ery Arias-Castro, Phong Alain Chau:
Minimax Estimation of Distances on a Surface and Minimax Manifold Learning in the Isometric-to-Convex Setting. CoRR abs/2011.12478 (2020)
2010 – 2019
- 2019
- [j15]Ery Arias-Castro, Thibaut Le Gouic
Unconstrained and Curvature-Constrained Shortest-Path Distances and Their Approximation. Discret. Comput. Geom. 62(1): 1-28 (2019) - [c4]Yuchao Liu, Ery Arias-Castro:
A Multiscale Scan Statistic for Adaptive Submatrix Localization. KDD 2019: 44-53 - 2018
- [i9]Ery Arias-Castro, Adel Javanmard, Bruno Pelletier:
Perturbation Bounds for Procrustes, Classical Scaling, and Trilateration, with Applications to Manifold Learning. CoRR abs/1810.09569 (2018) - 2017
- [j14]Ery Arias-Castro, Xiao Pu:
A simple approach to sparse clustering. Comput. Stat. Data Anal. 105: 217-228 (2017) - [j13]Ery Arias-Castro, Gilad Lerman, Teng Zhang:
Spectral Clustering Based on Local PCA. J. Mach. Learn. Res. 18: 9:1-9:57 (2017) - [j12]Ery Arias-Castro, Yuchao Liu
Distribution-free detection of a submatrix. J. Multivar. Anal. 156: 29-38 (2017) - [i8]Ery Arias-Castro, Thibaut Le Gouic:
Unconstrained and Curvature-Constrained Shortest-Path Distances and their Approximation. CoRR abs/1706.09441 (2017) - 2016
- [j11]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: 43:1-43:28 (2016) - [j10]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: 206:1-206:4 (2016) - [c3]Ojash Neopane, Srinjoy Das, Ery Arias-Castro, Kenneth Kreutz-Delgado:
A nonparametric framework for quantifying generative inference on neuromorphic systems. ISCAS 2016: 1346-1349 - [i7]Ojash Neopane, Srinjoy Das, Ery Arias-Castro, Kenneth Kreutz-Delgado:
A Nonparametric Framework for Quantifying Generative Inference on Neuromorphic Systems. CoRR abs/1602.05996 (2016) - 2015
- [j9]Inbal Horev, Boaz Nadler
Detection of Long Edges on a Computational Budget: A Sublinear Approach. SIAM J. Imaging Sci. 8(1): 458-483 (2015) - 2013
- [j8]Ery Arias-Castro, Bruno Pelletier:
On the convergence of maximum variance unfolding. J. Mach. Learn. Res. 14(1): 1747-1770 (2013) - [j7]Venkatesh Saligrama
Introduction to the issue on anomalous pattern discovery for spatial, temporal, networked, and high-dimensional signals. IEEE J. Sel. Top. Signal Process. 7(1): 1-3 (2013) - [j6]Ery Arias-Castro, Emmanuel J. Candès, Mark A. Davenport:
On the Fundamental Limits of Adaptive Sensing. IEEE Trans. Inf. Theory 59(1): 472-481 (2013) - 2012
- [j5]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): 944-992 (2012) - [c2]Mark A. Davenport, Ery Arias-Castro:
Compressive binary search. ISIT 2012: 1827-1831 - [c1]Joseph Salmon, Rebecca Willett
A two-stage denoising filter: The preprocessed Yaroslavsky filter. SSP 2012: 464-467 - [i6]Mark A. Davenport, Ery Arias-Castro:
Compressive binary search. CoRR abs/1202.0937 (2012) - [i5]Joseph Salmon, Rebecca Willett, Ery Arias-Castro:
A two-stage denoising filter: the preprocessed Yaroslavsky filter. CoRR abs/1208.6516 (2012) - 2011
- [j4]Ery Arias-Castro, Yonina C. Eldar:
Noise Folding in Compressed Sensing. IEEE Signal Process. Lett. 18(8): 478-481 (2011) - [j3]Ery Arias-Castro:
Clustering Based on Pairwise Distances When the Data is of Mixed Dimensions. IEEE Trans. Inf. Theory 57(3): 1692-1706 (2011) - [i4]Ery Arias-Castro, Yonina C. Eldar:
Noise Folding in Compressed Sensing. CoRR abs/1104.3833 (2011) - [i3]Ery Arias-Castro, Emmanuel J. Candès, Mark A. Davenport:
On the Fundamental Limits of Adaptive Sensing. CoRR abs/1111.4646 (2011) - [i2]Ery Arias-Castro, Joseph Salmon, Rebecca Willett:
Oracle inequalities and minimax rates for non-local means and related adaptive kernel-based methods. CoRR abs/1112.4434 (2011) - [i1]Ery Arias-Castro:
Detecting a Vector Based on Linear Measurements. CoRR abs/1112.6235 (2011) - 2010
- [j2]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): 94-130 (2010)
2000 – 2009
- 2005
- [j1]Ery Arias-Castro, David L. Donoho, Xiaoming Huo:
Near-optimal detection of geometric objects by fast multiscale methods. IEEE Trans. Inf. Theory 51(7): 2402-2425 (2005)
Coauthor Index
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