Counterfactual Explanation for Regression via Disentanglement in Latent Space.
Xuan ZhaoKlaus BroelemannGjergji KasneciPublished in: CoRR (2023)
Keyphrases
- latent space
- gaussian processes
- gaussian process
- latent variables
- regression model
- low dimensional
- dimensionality reduction
- generative model
- lower dimensional
- matrix factorization
- distance metric
- feature space
- parameter space
- probabilistic latent semantic analysis
- high dimensional
- manifold learning
- gaussian process latent variable models
- principal component analysis
- transfer learning
- high dimensional data
- model selection
- euclidean space
- data points
- high dimensional spaces
- probabilistic model
- active learning
- recommender systems
- machine learning