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researcher

Johannes Haupt

2 papers here

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

author position
  • first author2

Across the 2 of 2 papers where every author was matched, so the position is known.

fields
  • cs.CY1
  • cs.LG1

identity via Semantic Scholar / OpenAlex

most citedAffordable Uplift: Supervised Randomization in Controlled Experiments

3 citations · 3 across the 1 of their papers we have counts for

collaborators

2 papers

cs.LG2019★ 3 cited

Affordable Uplift: Supervised Randomization in Controlled Experiments

Johannes Haupt, Daniel Jacob, Robin M. Gubela +1

Customer scoring models are the core of scalable direct marketing. Uplift models provide an estimate of the incremental benefit from a treatment that is used for operational decisi…

cs.CY2018

Robust identification of email tracking: A machine learning approach

Johannes Haupt, Benedict Bender, Benjamin Fabian +1

Email tracking allows email senders to collect fine-grained behavior and location data on email recipients, who are uniquely identifiable via their email address. Such tracking inv…

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