Scalable Bayesian Inference in the Era of Deep Learning: From Gaussian Processes to Deep Neural Networks.
Javier AntoránPublished in: CoRR (2024)
Keyphrases
- deep learning
- bayesian inference
- gaussian processes
- hyperparameters
- gaussian process
- unsupervised feature learning
- unsupervised learning
- prior information
- probabilistic model
- deep architectures
- machine learning
- bayesian methods
- mental models
- weakly supervised
- expectation propagation
- data sets
- supervised learning
- semi supervised
- multi task
- prior knowledge