Fair Infinitesimal Jackknife: Mitigating the Influence of Biased Training Data Points Without Refitting.
Prasanna SattigeriSoumya GhoshInkit PadhiPierre L. DogninKush R. VarshneyPublished in: CoRR (2022)
Keyphrases
- data points
- nearest neighbor
- euclidean space
- machine learning
- data distribution
- training phase
- low dimensional
- supervised learning
- image processing
- hidden markov models
- artificial neural networks
- image segmentation
- dimensionality reduction
- online learning
- high dimensional data
- social networks
- distance metric
- real time
- database