Wide Neural Networks as Gaussian Processes: Lessons from Deep Equilibrium Models.
Tianxiang GaoXiaokai HuoHailiang LiuHongyang GaoPublished in: NeurIPS (2023)
Keyphrases
- gaussian processes
- neural network
- covariance function
- gaussian process
- gaussian process regression
- gaussian process models
- multi task learning
- bayesian methods
- bayesian approaches
- human pose estimation
- hyperparameters
- model selection
- multitask learning
- multi task
- bayesian framework
- preference learning
- pose estimation
- graphical models