Justin Eldridge is an Associate Teaching Professor in the data science program at UC San Diego.
HDSI 346 (3rd floor, end of east hallway)
Tuesdays from 10:30 am to Noon in HDSI 346 (up-to-date as of Fall 2025)
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
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
Clustering Consistently | pdf