Effective Bayesian Heteroscedastic Regression with Deep Neural Networks Alexander Immer

Feb-16-2026, 10:17:45 GMT–Neural Information Processing Systems

Further, we emphasize the significance of principled regularization of the network parameters and prediction.

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

Neural Information Processing Systems

Feb-16-2026, 10:17:45 GMT

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Country:
- Europe
  - Germany > Baden-Württemberg
    - Tübingen Region > Tübingen (0.04)
  - Switzerland > Zürich
    - Zürich (0.14)

Genre:
- Research Report (0.46)

Industry:
- Health & Medicine > Pharmaceuticals & Biotechnology (0.47)

Technology:
- Information Technology > Artificial Intelligence
  - Machine Learning
    - Learning Graphical Models > Directed Networks
      - Bayesian Learning (0.67)
    - Neural Networks > Deep Learning (0.65)
  - Representation & Reasoning > Uncertainty
    - Bayesian Inference (0.68)

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