Outcome-Guided Counterfactuals from a Jointly Trained Generative Latent Space.
Eric YehPedro SequeiraJesse HostetlerMelinda T. GervasioPublished in: xAI (3) (2023)
Keyphrases
- latent space
- generative model
- gaussian process latent variable models
- latent variables
- low dimensional
- gaussian process
- lower dimensional
- high dimensional
- dimensionality reduction
- matrix factorization
- feature space
- parameter space
- transfer learning
- gaussian processes
- em algorithm
- probabilistic model
- bayesian framework
- manifold learning
- probabilistic latent semantic analysis
- training set
- latent dirichlet allocation
- distance metric
- probability density function
- high dimensional data
- unsupervised learning
- image classification
- supervised learning
- data points