Leveraging Demonstrations with Latent Space Priors.
Jonas GehringDeepak GopinathJungdam WonAndreas KrauseGabriel SynnaeveNicolas UsunierPublished in: CoRR (2022)
Keyphrases
- latent space
- latent variables
- low dimensional
- gaussian process
- bayesian framework
- generative model
- dimensionality reduction
- lower dimensional
- parameter space
- high dimensional
- matrix factorization
- distance metric
- prior knowledge
- manifold learning
- gaussian processes
- feature space
- probabilistic latent semantic analysis
- gaussian process latent variable models
- maximum a posteriori
- prior information
- transfer learning
- random variables
- gaussian mixture
- probabilistic model
- hyperparameters
- co occurrence
- principal component analysis
- collaborative filtering
- high dimensional spaces
- data points
- data sets