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Fanny Yang

38 papers hereh-index 181.4k citations41 works total

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

author position
  • first author4
  • middle author10
  • last author23

Across the 37 of 38 papers where every author was matched, so the position is known.

fields
  • cs.LG21
  • stat.ML9
  • math.ST2
  • stat.ME2
  • cs.CR1
  • cs.IT1
same name
  • Fanny Yang — 2 papers, h 1
  • Fanny Yang — 2 papers, h 2
  • Fanny Yang — 2 papers, h 2
  • Fanny Yang — 2 papers
  • Fanny Yang — 2 papers, h 4
  • Fanny Yang — 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
20132026
most citedAdversarial Training Can Hurt Generalization

134 citations · 330 across the 35 of their papers we have counts for

collaborators
Showing 2024Show all

4 papers · 1 filter

cs.LG2024

Strong Copyright Protection for Language Models via Adaptive Model Fusion

Javier Abad, Konstantin Donhauser, Francesco Pinto +1

The risk of language models unintentionally reproducing copyrighted material from their training data has led to the development of various protective measures. In this paper, we p…

cs.LG2024

Robust Mixture Learning when Outliers Overwhelm Small Groups

Daniil Dmitriev, Rares-Darius Buhai, Stefan Tiegel +5

We study the problem of estimating the means of well-separated mixtures when an adversary may add arbitrary outliers. While strong guarantees are available when the outlier fractio…

stat.ME2024

Detecting critical treatment effect bias in small subgroups

Piersilvio De Bartolomeis, Javier Abad, Konstantin Donhauser +1

Randomized trials are considered the gold standard for making informed decisions in medicine, yet they often lack generalizability to the patient populations in clinical practice.…

cs.LG2024★ 1 cited

Privacy-preserving data release leveraging optimal transport and particle gradient descent

Konstantin Donhauser, Javier Abad, Neha Hulkund +1

We present a novel approach for differentially private data synthesis of protected tabular datasets, a relevant task in highly sensitive domains such as healthcare and government.…

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