Bayesian Federated Learning with Hamiltonian Monte Carlo: Algorithm and Theory.
Jiajun LiangQian ZhangWei DengQifan SongGuang LinPublished in: CoRR (2024)
Keyphrases
- monte carlo
- learning algorithm
- monte carlo simulation
- importance sampling
- dynamic programming
- probabilistic model
- markov chain
- adaptive sampling
- temporal difference learning
- computational cost
- learning tasks
- bayesian networks
- stochastic approximation
- bayesian framework
- simulation study
- particle filter
- worst case
- supervised learning
- function approximation
- active learning
- markov chain monte carlo
- bayesian learning
- search space
- game tree
- feature space
- objective function
- monte carlo methods
- reinforcement learning
- point processes