Counterfactual Explanation for Regression via Disentanglement in Latent Space.
Xuan ZhaoKlaus BroelemannGjergji KasneciPublished in: ICDM (Workshops) (2023)
Keyphrases
- latent space
- gaussian processes
- gaussian process
- regression model
- low dimensional
- latent variables
- dimensionality reduction
- generative model
- lower dimensional
- probabilistic latent semantic analysis
- manifold learning
- parameter space
- distance metric
- matrix factorization
- model selection
- gaussian process latent variable models
- transfer learning
- high dimensional
- feature space
- gaussian mixture
- support vector
- high dimensional spaces
- pattern recognition
- text mining
- probabilistic model
- hyperparameters
- random projections
- bayesian networks
- training data
- machine learning