Causal Fine-Tuning and Effect Calibration of Non-Causal Predictive Models.
Carlos Fernández-LoríaYanfang HouFoster J. ProvostJennifer HillPublished in: CoRR (2024)
Keyphrases
- fine tuning
- causal models
- causal independence
- causal inference
- causal networks
- causal relations
- probabilistic model
- causal structure
- qualitative models
- causal relationships
- causal effects
- predictive model
- causal reasoning
- causal discovery
- viable alternative
- prior knowledge
- causal theories
- structural model
- camera calibration
- statistical model
- model selection
- domain specific