Einsum Networks: Fast and Scalable Learning of Tractable Probabilistic Circuits.
Robert PeharzSteven LangAntonio VergariKarl StelznerAlejandro MolinaMartin TrappGuy Van den BroeckKristian KerstingZoubin GhahramaniPublished in: ICML (2020)
Keyphrases
- learning process
- reinforcement learning
- learning systems
- learning algorithm
- prior knowledge
- online learning
- learning problems
- learning tasks
- connectionist networks
- supervised learning
- causal networks
- inductive inference
- inductive learning
- learning scenarios
- bit rate
- unsupervised learning
- probabilistic model
- active learning
- multi agent
- bayesian networks
- feature selection