◍wovepaper
SearchResearchersInstitutions
Sign in
researcher

Jonathan Root

4 papers hereh-index 116 citations6 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author3
  • middle author1

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • stat.ML2
  • cs.LG1
  • math.PR1

identity via Semantic Scholar / OpenAlex

activity
20142023
most citedLearning Efficient Anomaly Detectors from K-NN Graphs

5 citations · 5 across the 4 of their papers we have counts for

collaborators

4 papers

math.PR2023

The Topology of Negatively Associated Distributions

Jonathan Root, Mark Kon

We consider the sets of negatively associated (NA) and negatively correlated (NC) distributions as subsets of the space M of all probability distributions on $\mathbb{R…

stat.ML2016

Learning Minimum Volume Sets and Anomaly Detectors from KNN Graphs

Jonathan Root, Venkatesh Saligrama, Jing Qian

We propose a non-parametric anomaly detection algorithm for high dimensional data. We first rank scores derived from nearest neighbor graphs on n-point nominal training data. We…

cs.LG2015★ 5 cited

Learning Efficient Anomaly Detectors from K-NN Graphs

Jing Qian, Jonathan Root, Venkatesh Saligrama

We propose a non-parametric anomaly detection algorithm for high dimensional data. We score each datapoint by its average K-NN distance, and rank them accordingly. We then train…

stat.ML2014

A Rank-SVM Approach to Anomaly Detection

Jing Qian, Jonathan Root, Venkatesh Saligrama +1

We propose a novel non-parametric adaptive anomaly detection algorithm for high dimensional data based on rank-SVM. Data points are first ranked based on scores derived from neares…

◍wovepaper

Papers, researchers and institutions, woven together.

Explore
  • Search
  • Researchers
  • Institutions
Account
  • Library
  • Chat
Data
  • arXiv.org
  • Semantic Scholar
  • OpenAlex
  • Latest RSS
AboutContactPrivacyDevelopersllms.txtopenapi.json
Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.