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Using causal inference to avoid fallouts in data-driven parametric
  analysis: a case study in the architecture, engineering, and construction
  industry

Using causal inference to avoid fallouts in data-driven parametric analysis: a case study in the architecture, engineering, and construction industry

11 September 2023
Xia Chen
Ruiji Sun
U. Saluz
S. Schiavon
Philipp Geyer
ArXivPDFHTML

Papers citing "Using causal inference to avoid fallouts in data-driven parametric analysis: a case study in the architecture, engineering, and construction industry"

1 / 1 papers shown
Title
Learning in High Dimension Always Amounts to Extrapolation
Learning in High Dimension Always Amounts to Extrapolation
Randall Balestriero
J. Pesenti
Yann LeCun
41
103
0
18 Oct 2021
1