Portrait of Justin Eldridge

justin eldridge

Justin Eldridge is an Associate Teaching Professor in the data science program at UC San Diego.


office

HDSI 346 (3rd floor, end of east hallway)

office hours

Tuesdays from 10:30 am to Noon in HDSI 346 (up-to-date as of Fall 2025)

teaching
publications
  • Unperturbed: spectral analysis beyond Davis-Kahan.
    J. Eldridge, M. Belkin, Y. Wang.
    ALT 2018
    arXiv

  • Graphons, mergeons, and so on!
    J. Eldridge, M. Belkin, Y. Wang.
    NIPS 2016 — Oral presentation (top ~2% of submissions)
    arXiv | video of talk | 4 minute "movie trailer"

  • Beyond Hartigan Consistency: Merge Distortion Metric for Hierarchical Clustering.
    J. Eldridge, M. Belkin, Y. Wang.
    COLT 2015 — Mark Fulk award for best student paper
    arXiv

  • Robust features for the automatic identification of autism spectrum disorder in children.
    J. Eldridge, A.E. Lane, M. Belkin, S. Dennis.
    Journal of Neurodevelopmental Disorders, 2014
    pdf

talks
  • Clustering Correctly.
    Delivered November 13, 2017 at Tulane University.
    slides

  • Graphons, mergeons, and so on!
    Delivered December 13, 2016 at DIBRIS, Genoa.
    slides

  • Graphons, mergeons, and so on!
    Delivered December 6, 2016 at NIPS 2016, Barcelona.
    slides | video of talk | 4 minute "movie trailer"

  • Graphons, mergeons, and so on!
    Delivered June 18, 2016 at WoGaML, Boston
    slides

  • Beyond Hartigan Consistency.
    Delivered July 4, 2015 at COLT 2015, Paris
    slides

  • What do we seek in a hierarchical clustering?
    Delivered May 13, 2015 in the AI Seminar at The Ohio State University
    slides

dissertation

Clustering Consistently | pdf