Ery Arias-Castro
Professor
Studies high-dimensional statistics and machine learning theory, including detection problems, clustering and manifold learning.
Ery Arias-Castro's lab at UCSD works on learning theory & optimization and recognition, detection & segmentation. 5 papers since 2023, 1 at top venues, mostly JMLR. Applications close .
At a glance
- papers, 2023–2026
- 1/ year
- at T1 venues
- 20%
- PhD students
- —
- MS students
- —
- alumni listed
- —
Papers by yearfrom DBLP, 2023–2026
- 0 papers2026 · T1 0 · collecting
- 4 papers2025 · T1 1
- 0 papers2024 · T1 0
- 1 papers2023 · T1 0
T1 venuesOtherVenues: JMLR
Research focuspaper titles that use each topic's words
- clustering1 paper
- Learning theory & optimization0 papers
- Recognition, detection & segmentation0 papers
- manifold learning0 papers
- studies high-dimensional0 papers
Paper list
From DBLP.
20254 papers
- JMLR (T1)An Axiomatic Definition of Hierarchical Clustering (opens in a new tab)
- Commun. Stat. Simul. Comput.K -means and gaussian mixture modeling with a separation constraint (opens in a new tab)
- SIAM J. Math. Data Sci.Stability of Sequential Lateration and of Stress Minimization in the Presence of Noise (opens in a new tab)
- SIAM J. Math. Data Sci.Theoretical Foundations of Ordinal Multidimensional Scaling, Including Internal Unfolding and External Unfolding (opens in a new tab)
20231 paper
- SIAM J. Math. Data Sci.Moving Up the Cluster Tree with the Gradient Flow (opens in a new tab)
Where alumni went
Alumni are not listed on the lab homepage.
Apply to UCSDFall 2027
UCSD CSE Computer Science PhD
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- Opens
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- GRE
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- English
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Data
Some numbers could not be verified:
- The member list could not be found on the lab site.
- The alumni list could not be found on the lab site.
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- Members
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- Alumni
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