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Michael Pearce

3 papers here

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

author position
  • first author1
  • middle author2

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

fields
  • cs.LG2
  • stat.ML1

identity via Semantic Scholar / OpenAlex

most citedScalable Global Optimization via Local Bayesian Optimization

143 citations · 147 across the 2 of their papers we have counts for

collaborators
Showing stat.MLShow all

1 paper · 1 filter

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.