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Julia Kostin

4 papers hereh-index 17 citations4 works total

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

author position
  • first author3
  • middle author1

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • stat.ML2
  • cs.IT1
  • cs.LG1

identity via Semantic Scholar / OpenAlex

activity
20232026
collaborators
Showing 2026Show all

1 paper · 1 filter

cs.LG2026

How Useful is Causal Invariance for Domain Adaptation in Finite-Sample Settings?

Julia Kostin, Kasra Jalaldoust, Elias Bareinboim +2

Machine learning models often degrade when they are deployed on a target distribution that differs from the source distributions they were trained on. Recent work in causality-base…

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