Wide Neural Networks as Gaussian Processes: Lessons from Deep Equilibrium Models.
Tianxiang GaoXiaokai HuoHailiang LiuHongyang GaoPublished in: CoRR (2023)
Keyphrases
- gaussian processes
- neural network
- gaussian process
- human pose estimation
- covariance function
- gaussian process regression
- gaussian process models
- bayesian approaches
- probabilistic model
- multi task learning
- multitask learning
- hyperparameters
- multi task
- markov random field
- bayesian methods
- prior knowledge
- preference learning
- lower bound
- feature space
- decision trees