Causal Fair Machine Learning via Rank-Preserving Interventional Distributions.

Ludwig Bothmann Susanne Dandl Michael Schomaker

Published in: CoRR (2023)

Keyphrases

machine learning
data mining
patient specific
pattern recognition
machine learning algorithms
probability distribution
active learning
information extraction
learning algorithm

machine learning methods
machine learning approaches
causal reasoning
causal models
inductive logic programming
learning problems
random variables
text mining
knowledge discovery

minimally invasive
statistical methods
causal relations
heavy tailed
causal discovery
causal relationships
causal theories
gaussian distribution

training data
search engine
model selection
text classification
support vector machine
knowledge representation
computer vision
decision trees