Gradient boosting Bayesian neural networks via Langevin MCMC.
George BaiRohitash ChandraPublished in: Neurocomputing (2023)
Keyphrases
- gradient boosting
- neural network
- posterior distribution
- markov chain monte carlo
- posterior probability
- bayesian inference
- loss function
- artificial neural networks
- maximum likelihood
- parameter estimation
- latent variables
- markov chain
- generative model
- probability distribution
- bayesian networks
- maximum a posteriori
- pairwise
- single feature
- imitation learning