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Evgenii Chzhen

CNRS

10 papers hereh-index 11579 citations29 works total

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

author position
  • sole author2
  • first author7
  • last author1

Across the 10 of 10 papers where every author was matched, so the position is known.

fields
  • math.ST5
  • stat.ML4
  • cs.LG1
affiliations
  • CNRS
  • Université Paris-Saclay
same name
  • Evgenii Chzhen — 5 papers

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
20172021
most citedFair Regression with Wasserstein Barycenters

17 citations · 41 across the 9 of their papers we have counts for

collaborators
Showing stat.MLShow all

4 papers · 1 filter

stat.ML2021★ 14 cited

Set-valued classification -- overview via a unified framework

Evgenii Chzhen, Christophe Denis, Mohamed Hebiri +1

Multi-class classification problem is among the most popular and well-studied statistical frameworks. Modern multi-class datasets can be extremely ambiguous and single-output predi…

stat.ML2021★ 5 cited

Classification with abstention but without disparities

Nicolas Schreuder, Evgenii Chzhen

Classification with abstention has gained a lot of attention in recent years as it allows to incorporate human decision-makers in the process. Yet, abstention can potentially ampli…

stat.ML2020★ 1 cited

An example of prediction which complies with Demographic Parity and equalizes group-wise risks in the context of regression

Evgenii Chzhen, Nicolas Schreuder

Let (X,S,Y)∈Rp×{1,2}×R be a triplet following some joint distribution P with feature vector X, sensitive attribute S , an…

stat.ML2020★ 17 cited

Fair Regression with Wasserstein Barycenters

Evgenii Chzhen, Christophe Denis, Mohamed Hebiri +2

We study the problem of learning a real-valued function that satisfies the Demographic Parity constraint. It demands the distribution of the predicted output to be independent of t…

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