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researcher

Christian Hansen

29 papers hereh-index 3113.5k citations118 works total

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

author position
  • sole author1
  • first author7
  • middle author17
  • last author3

Across the 28 of 29 papers where every author was matched, so the position is known.

fields
  • math.ST7
  • cs.IR6
  • cs.CL4
  • cs.CY3
  • stat.ME3
  • econ.EM2
same name
  • Christian Hansen — 4 papers, h 5
  • Christian Hansen — 2 papers
  • Christian Hansen — 1 paper, h 4
  • Christian Hansen — 1 paper, h 2
  • Christian Hansen — 1 paper, h 1
  • Christian Hansen — 1 paper, h 2

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
20102021
most citedValid Post-Selection and Post-Regularization Inference: An Elementary, General Approach

152 citations · 285 across the 23 of their papers we have counts for

collaborators
Showing 2021Show all

4 papers · 1 filter

cs.IR2021

Sequential Modelling with Applications to Music Recommendation, Fact-Checking, and Speed Reading

Christian Hansen

Sequential modelling entails making sense of sequential data, which naturally occurs in a wide array of domains. One example is systems that interact with users, log user actions a…

math.ST2021★ 1 cited

Inference for Dependent Data with Learned Clusters

Jianfei Cao, Christian Hansen, Damian Kozbur +1

This paper presents and analyzes an approach to cluster-based inference for dependent data. The primary setting considered here is with spatially indexed data in which the dependen…

math.ST2021★ 4 cited

Inference for Low-Rank Models

Victor Chernozhukov, Christian Hansen, Yuan Liao +1

This paper studies inference in linear models with a high-dimensional parameter matrix that can be well-approximated by a ``spiked low-rank matrix.'' A spiked low-rank matrix has r…

cs.CL2021

Automatic Fake News Detection: Are Models Learning to Reason?

Casper Hansen, Christian Hansen, Lucas Chaves Lima

Most fact checking models for automatic fake news detection are based on reasoning: given a claim with associated evidence, the models aim to estimate the claim veracity based on t…

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