Discovering Distribution Shifts using Latent Space Representations.
Leo BetthauserUrszula ChajewskaMaurice DiesendruckRohith PesalaPublished in: CoRR (2022)
Keyphrases
- latent space
- latent variables
- dimensionality reduction
- low dimensional
- gaussian process latent variable models
- feature space
- gaussian processes
- gaussian process
- parameter space
- high dimensional
- random variables
- manifold learning
- matrix factorization
- probability distribution
- lower dimensional
- probabilistic model
- principal component analysis
- probabilistic latent semantic analysis