Judea Pearl
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| title | conference | date |
|---|---|---|
| The New Science of Cause and Effect | PyData Los Angeles 2018 | 2018-10-17 |
Argues that data science needs an actual causal engine: a graph‑based Structural Causal Model plus surgical interventions and do‑calculus that let one answer… | ||
| The Mathematics of Causal Inference, with Reflections on Machine Learning and the Logic of Science | Symposium on Visions of the Theory of Computing 2013 | 2013-05-29 |
Argues that causal questions require structural models, not just distributions, and gives concrete tools: structural equations, graphs and do-calculus with… | ||
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