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Michael Pearce

12 papers hereh-index 10987 citations25 works total

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

author position
  • first author5
  • middle author6

Across the 11 of 12 papers where every author was matched, so the position is known.

fields
  • stat.ML6
  • cs.LG3
  • math.ST1
  • stat.AP1
  • stat.ME1
same name
  • Michael Pearce — 3 papers, h 2
  • Michael Pearce — 1 paper, h 3
  • Michael Pearce — 1 paper, h 2
  • Michael Pearce — 1 paper, h 1

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
20192026
most citedScalable Global Optimization via Local Bayesian Optimization

143 citations · 179 across the 11 of their papers we have counts for

collaborators
Showing 2019 · stat.MLShow all

1 paper · 2 filters

stat.ML2019

Bayesian Optimization Allowing for Common Random Numbers

Michael Pearce, Matthias Poloczek, Juergen Branke

Bayesian optimization is a powerful tool for expensive stochastic black-box optimization problems such as simulation-based optimization or machine learning hyperparameter tuning. M…

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