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Jonathan Williams

3 papers here

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

author position
  • middle author1
  • last author2

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • stat.ML2
  • stat.CO1
ORCID 0000-0001-5164-9430
same name
  • Jonathan Williams — 2 papers
  • Jonathan Williams — 1 paper

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

most citedDynamic Mortality Risk Predictions in Pediatric Critical Care Using Recurrent Neural Networks

74 citations · 75 across the 3 of their papers we have counts for

collaborators

3 papers

stat.ML2021★ 1 cited

Conformal prediction for text infilling and part-of-speech prediction

Neil Dey, Jing Ding, Jack Ferrell +4

Modern machine learning algorithms are capable of providing remarkably accurate point-predictions; however, questions remain about their statistical reliability. Unlike conventiona…

stat.CO2021

yaglm: a Python package for fitting and tuning generalized linear models that supports structured, adaptive and non-convex penalties

Iain Carmichael, Thomas Keefe, Naomi Giertych +1

The yaglm package aims to make the broader ecosystem of modern generalized linear models accessible to data analysts and researchers. This ecosystem encompasses a range of loss fun…

stat.ML2017★ 74 cited

Dynamic Mortality Risk Predictions in Pediatric Critical Care Using Recurrent Neural Networks

M Aczon, D Ledbetter, L Ho +4

Viewing the trajectory of a patient as a dynamical system, a recurrent neural network was developed to learn the course of patient encounters in the Pediatric Intensive Care Unit (…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.