Posterior Refinement Improves Sample Efficiency in Bayesian Neural Networks

Aug-18-2025, 17:52:14 GMT–Neural Information Processing Systems

Monte Carlo (MC) integration is the de facto method for approximating the predictive distribution of Bayesian neural networks (BNNs).

approximation, artificial intelligence, machine learning, (18 more...)

Neural Information Processing Systems

Aug-18-2025, 17:52:14 GMT

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Country:
- Europe
  - Germany > Baden-Württemberg
    - Tübingen Region > Tübingen (0.14)
  - United Kingdom > England
    - Cambridgeshire > Cambridge (0.04)

Genre:
- Research Report > New Finding (0.46)

Technology:
- Information Technology > Artificial Intelligence
  - Machine Learning
    - Learning Graphical Models > Directed Networks
      - Bayesian Learning (0.46)
    - Neural Networks (1.00)
    - Statistical Learning (1.00)
  - Representation & Reasoning > Uncertainty
    - Bayesian Inference (0.93)

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