Adaptive Latent Space Tuning for Non-Stationary Distributions.
Alexander ScheinkerFrederick CroppSergio PaiaguaDaniele FilippettoPublished in: CoRR (2021)
Keyphrases
- non stationary
- latent space
- adaptive algorithms
- low dimensional
- latent variables
- generative model
- lower dimensional
- dimensionality reduction
- gaussian process
- gaussian processes
- feature space
- autoregressive
- manifold learning
- probabilistic latent semantic analysis
- transfer learning
- parameter space
- high dimensional spaces
- distance metric
- empirical mode decomposition
- reinforcement learning
- high dimensional data
- nearest neighbor
- probabilistic model
- hidden markov models
- high dimensional
- pattern recognition