Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles

Balaji Lakshminarayanan, Alexander Pritzel, Charles Blundell

Nov-21-2025, 12:02:47 GMT–Neural Information Processing Systems

Quantifying predictive uncertainty in NNs is a challenging and yet unsolved problem.

artificial intelligence, bayesian inference, machine learning, (19 more...)

Neural Information Processing Systems

Nov-21-2025, 12:02:47 GMT

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Country:
- Asia > Middle East
  - Jordan (0.04)
- North America > United States
  - California > Los Angeles County > Long Beach (0.04)

Genre:
- Research Report (0.46)

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

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Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles
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