Contributions to Large Scale Bayesian Inference and Adversarial Machine Learning.
Víctor GallegoPublished in: CoRR (2021)
Keyphrases
- bayesian inference
- machine learning
- statistical inference
- probabilistic model
- prior information
- hyperparameters
- bayesian model
- gibbs sampler
- particle filter
- learning algorithm
- hierarchical bayesian
- machine learning methods
- decision trees
- probabilistic modeling
- variational inference
- variational bayes
- expectation propagation
- bayesian models
- data mining
- active learning
- statistical learning
- machine learning algorithms
- natural language processing
- information extraction
- weighted model counting
- bayesian methods
- mixture model
- knowledge discovery
- reinforcement learning
- data sets