Automatic Variational Inference in Stan

Alp Kucukelbir, Rajesh Ranganath, Andrew Gelman, David Blei

Oct-2-2025, 03:52:17 GMT–Neural Information Processing Systems

Variational inference is a scalable technique for approximate Bayesian inference. Deriving variational inference algorithms requires tedious model-specific calculations; this makes it difficult for non-experts to use.

artificial intelligence, bayesian inference, machine learning, (17 more...)

Neural Information Processing Systems

Oct-2-2025, 03:52:17 GMT

Conferences PDF

Country:
- Asia > Middle East
  - Jordan (0.04)
- Europe > United Kingdom
  - England > Cambridgeshire > Cambridge (0.04)
- North America > United States
  - New York (0.04)

Technology:
- Information Technology > Artificial Intelligence
  - Machine Learning
    - Learning Graphical Models
      - Directed Networks > Bayesian Learning (0.46)
      - Undirected Networks > Markov Models (0.46)
    - Statistical Learning (1.00)
  - Representation & Reasoning > Uncertainty
    - Bayesian Inference (0.67)

Duplicate Docs Excel Report

Title
Automatic Variational Inference in Stan Alp Kucukelbir
Automatic Variational Inference in Stan

Similar Docs Excel Report more

Title	Similarity	Source
None found