Energy-Inspired Models: Learning with Sampler-Induced Distributions.
Dieterich LawsonGeorge TuckerBo DaiRajesh RanganathPublished in: NeurIPS (2019)
Keyphrases
- learned models
- learning algorithm
- prior knowledge
- supervised learning
- monte carlo
- probabilistic model
- knowledge acquisition
- online learning
- statistical models
- energy consumption
- learning rules
- learning systems
- model selection
- structured prediction
- accurate models
- parameter estimation
- gibbs sampler
- bayesian framework
- mobile learning
- active learning
- learning process
- reinforcement learning
- decision trees