Confusions over Time: An Interpretable Bayesian Model to Characterize Trends in Decision Making

Himabindu Lakkaraju, Jure Leskovec

Nov-21-2025, 08:08:14 GMT–Neural Information Processing Systems

We propose Confusions over Time (CoT), a novel generative framework which facilitates a multi-granular analysis of the decision making process.

artificial intelligence, decision maker, machine learning, (16 more...)

Neural Information Processing Systems

Nov-21-2025, 08:08:14 GMT

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Country:
- Europe > Spain
  - Catalonia > Barcelona Province > Barcelona (0.04)
- North America > United States
  - California > Santa Clara County > Palo Alto (0.04)

Genre:
- Research Report > New Finding (0.46)

Industry:
- Health & Medicine (0.46)
- Law (0.47)

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

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Confusions over Time: An Interpretable Bayesian Model to Characterize Trends in Decision Making
Confusions over Time: An Interpretable Bayesian Model to Characterize Trends in Decision Making

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