Causal vs. Anticausal merging of predictors

Dec-27-2025, 17:15:18 GMT–Neural Information Processing Systems

We study the differences arising from merging predictors in the causal and anti-causal directions using the same data.

machine learning, natural language, predictor, (19 more...)

Neural Information Processing Systems

Dec-27-2025, 17:15:18 GMT

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Country:
- Asia
  - Japan (0.04)
  - Middle East
    - Jordan (0.04)
    - Lebanon (0.04)
- Europe > Germany
  - Baden-Württemberg > Tübingen Region > Tübingen (0.14)
- North America > United States
  - Tennessee > Davidson County > Nashville (0.04)

Genre:
- Research Report > Experimental Study (1.00)

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

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Causal vs. Anticausal merging of predictors

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