researcher

Benjamin I. P. Rubinstein

School of Computing and Information Systems, University of Melbourne

49 papers hereh-index 355k citations134 works total

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

author position

first author1
middle author27
last author20

Across the 48 of 49 papers where every author was matched, so the position is known.

fields

affiliations

School of Computing and Information Systems, University of Melbourne

Homepage

same name

Benjamin I. P. Rubinstein — 6 papers, h 2
Benjamin I. P. Rubinstein — 5 papers, h 2
Benjamin I. P. Rubinstein — 5 papers, h 1
Benjamin I. P. Rubinstein — 4 papers
Benjamin I. P. Rubinstein — 4 papers, h 3
Benjamin I. P. Rubinstein — 2 papers, h 4

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

activity

20122024

most citedHealth Data in an Open World

33 citations · 105 across the 31 of their papers we have counts for

collaborators

Showing 2019 · cs.LGShow all

2 papers · 2 filters

cs.LG2019

Truth Inference at Scale: A Bayesian Model for Adjudicating Highly Redundant Crowd Annotations

Yuan Li, Benjamin I. P. Rubinstein, Trevor Cohn

Crowd-sourcing is a cheap and popular means of creating training and evaluation datasets for machine learning, however it poses the problem of `truth inference', as individual work…

cs.LG2019★ 2 cited

A Note on Bounding Regret of the C $^{2}$ UCB Contextual Combinatorial Bandit

Bastian Oetomo, Malinga Perera, Renata Borovica-Gajic +1

We revisit the proof by Qin et al. (2014) of bounded regret of the C $^{2}$ UCB contextual combinatorial bandit. We demonstrate an error in the proof of volumetric expansion of the mom…

Truth Inference at Scale: A Bayesian Model for Adjudicating Highly Redundant Crowd Annotations

A Note on Bounding Regret of the C2UCB Contextual Combinatorial Bandit

A Note on Bounding Regret of the C $^{2}$ UCB Contextual Combinatorial Bandit