Sequential Latent Variable Models for Few-Shot High-Dimensional Time-Series Forecasting.
Xiajun JiangRyan MisselZhiyuan LiLinwei WangPublished in: ICLR (2023)
Keyphrases
- latent variable models
- high dimensional
- latent variables
- latent space
- real valued
- low dimensional
- text data
- dimensionality reduction
- latent dirichlet allocation
- hidden markov models
- high dimensionality
- nearest neighbor
- feature space
- visual features
- similarity search
- hidden variables
- lower dimensional
- parameter space
- high dimensional data
- kernel function
- higher dimensional
- high dimensional spaces
- discriminative learning
- reinforcement learning
- probabilistic model