The Importance of Modeling Data Missingness in Algorithmic Fairness: A Causal Perspective.
Naman GoelAlfonso AmayuelasAmit DeshpandeAmit SharmaPublished in: AAAI (2021)
Keyphrases
- missing data
- raw data
- database
- data distribution
- data analysis
- data sets
- data quality
- original data
- synthetic data
- small number
- data sources
- probability distribution
- incomplete data
- experimental data
- resource allocation
- prior knowledge
- image data
- end users
- xml documents
- sensor data
- spatial data
- data processing
- data structure
- missing values
- high quality
- data mining
- databases