Counterfactual Explanations via Latent Space Projection and Interpolation.
Brian BarrMatthew R. HarringtonSamuel SharpeC. Bayan BrussPublished in: CoRR (2021)
Keyphrases
- latent space
- latent variables
- gaussian process
- low dimensional
- parameter space
- generative model
- gaussian processes
- feature space
- matrix factorization
- manifold learning
- dimensionality reduction
- lower dimensional
- gaussian process latent variable models
- probabilistic latent semantic analysis
- transfer learning
- gaussian mixture
- high dimensional spaces
- high dimensional
- distance metric
- visual features
- data sets
- regression model
- high dimensional data
- prior knowledge
- machine learning