On Sequential Bayesian Inference for Continual Learning.
Samuel KesslerAdam D. CobbTim G. J. RudnerStefan ZohrenStephen J. RobertsPublished in: CoRR (2023)
Keyphrases
- bayesian inference
- learning process
- hidden variables
- learning algorithm
- reinforcement learning
- statistical inference
- prior information
- hyperparameters
- prior knowledge
- active learning
- probabilistic model
- unsupervised learning
- gibbs sampler
- bayesian model
- multi task learning
- markov networks
- incremental learning
- closed form
- text mining
- least squares
- probability distribution
- bayesian networks
- training data