Convolutional Normalizing Flows for Deep Gaussian Processes.
Haibin YuDapeng LiuBryan Kian Hsiang LowPatrick JailletPublished in: CoRR (2021)
Keyphrases
- gaussian processes
- deep learning
- gaussian process
- ordinal regression
- gaussian process regression
- multitask learning
- covariance function
- multi task learning
- human pose estimation
- unsupervised learning
- preference learning
- multi task
- relevance vector machine
- hyperparameters
- regression model
- image classification
- machine learning
- gaussian process models
- model selection
- upper bound
- support vector machine