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researcher

Guillaume Staerman

3 papers here

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

author position
  • first author2
  • middle author1

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

fields
  • stat.ML3

identity via Semantic Scholar / OpenAlex

most citedThe Area of the Convex Hull of Sampled Curves: a Robust Functional Statistical Depth Measure

9 citations · 9 across the 1 of their papers we have counts for

collaborators

3 papers

stat.ML2020

Generalization Bounds in the Presence of Outliers: a Median-of-Means Study

Pierre Laforgue, Guillaume Staerman, Stephan Clémençon

In contrast to the empirical mean, the Median-of-Means (MoM) is an estimator of the mean θ of a square integrable r.v. Z, around which accurate nonasymptotic confidence bounds…

stat.ML2019★ 9 cited

The Area of the Convex Hull of Sampled Curves: a Robust Functional Statistical Depth Measure

Guillaume Staerman, Pavlo Mozharovskyi, Stephan Clémençon

With the ubiquity of sensors in the IoT era, statistical observations are becoming increasingly available in the form of massive (multivariate) time-series. Formulated as unsupervi…

stat.ML2019

Functional Isolation Forest

Guillaume Staerman, Pavlo Mozharovskyi, Stephan Clémençon +1

For the purpose of monitoring the behavior of complex infrastructures (e.g. aircrafts, transport or energy networks), high-rate sensors are deployed to capture multivariate data, g…

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