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researcher

J. J. Williams

3 papers hereh-index 6141 citations13 works total

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

author position
  • middle author2
  • last author1

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

fields
  • econ.EM1
  • stat.ME1
  • stat.ML1
same name
  • J. J. 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

activity
20202022
most citedContextual Bandits in a Survey Experiment on Charitable Giving: Within-Experiment Outcomes versus Policy Learning

7 citations · 8 across the 3 of their papers we have counts for

collaborators
Showing stat.MLShow all

1 paper · 1 filter

stat.ML2021★ 1 cited

Efficient Inference Without Trading-off Regret in Bandits: An Allocation Probability Test for Thompson Sampling

Nina Deliu, Joseph J. Williams, Sofia S. Villar

Using bandit algorithms to conduct adaptive randomised experiments can minimise regret, but it poses major challenges for statistical inference (e.g., biased estimators, inflated t…

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