Neural Conditional Probability for Uncertainty Quantification Vladimir R. Kostic

Nov-19-2025, 16:32:43 GMT–Neural Information Processing Systems

We introduce Neural Conditional Probability (NCP), an operator-theoretic approach to learning conditional distributions with a focus on statistical inference tasks.

artificial intelligence, bayesian inference, machine learning, (21 more...)

Neural Information Processing Systems

Nov-19-2025, 16:32:43 GMT

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Country:
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  - Germany > Bavaria
    - Upper Bavaria > Munich (0.04)
  - Serbia > Vojvodina
    - South Bačka District > Novi Sad (0.04)

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  - Experimental Study (1.00)
  - New Finding (0.92)

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Technology:
- Information Technology > Artificial Intelligence
  - Machine Learning
    - Learning Graphical Models > Directed Networks
      - Bayesian Learning (0.61)
    - Neural Networks (1.00)
    - Statistical Learning > Regression (0.67)
  - Representation & Reasoning > Uncertainty
    - Bayesian Inference (0.61)

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