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Quantitative probing: Validating causal models using quantitative domain
  knowledge

Quantitative probing: Validating causal models using quantitative domain knowledge

7 September 2022
Daniel Grünbaum
M. L. Stern
E. Lang
ArXiv (abs)PDFHTML

Papers citing "Quantitative probing: Validating causal models using quantitative domain knowledge"

3 / 3 papers shown
Title
Data-driven Day Ahead Market Prices Forecasting: A Focus on Short Training Set Windows
Data-driven Day Ahead Market Prices Forecasting: A Focus on Short Training Set Windows
Vasilis Michalakopoulos
C. Menos-Aikateriniadis
Elissaios Sarmas
Antonis Zakynthinos
P. Georgilakis
D. Askounis
AI4TS
98
0
0
12 Jun 2025
Robustness of Algorithms for Causal Structure Learning to Hyperparameter
  Choice
Robustness of Algorithms for Causal Structure Learning to Hyperparameter Choice
Damian Machlanski
Spyridon Samothrakis
Paul Clarke
CML
71
1
0
27 Oct 2023
CausalOps -- Towards an Industrial Lifecycle for Causal Probabilistic
  Graphical Models
CausalOps -- Towards an Industrial Lifecycle for Causal Probabilistic Graphical Models
R. Maier
A. Schlattl
Thomas Guess
J. Mottok
AI4CE
68
2
0
02 Aug 2023
1