Training Chain-of-Thought via Latent-Variable Inference.
Matthew Douglas HoffmanDu PhanDavid DohanSholto DouglasTuan Anh LeAaron ParisiPavel SountsovCharles SuttonSharad VikramRif A. SaurousPublished in: NeurIPS (2023)
Keyphrases
- latent variables
- structured prediction
- structural svms
- probabilistic model
- latent variable models
- factor graphs
- posterior distribution
- real valued
- maximum margin
- random variables
- gaussian process
- conditional random fields
- discriminative learning
- hierarchical model
- topic models
- bayesian networks
- approximate inference
- prior knowledge
- observed variables
- efficient learning
- probabilistic latent semantic analysis
- training set
- bayesian inference
- belief networks
- graphical models
- information extraction
- latent structure