NIPS ´08 Workshop: Causality: objectives and assessment

Causal Structure Search: Philosophical Foundations and Future Problems

author:Richard Scheines, Carnegie Mellon University
author:Peter Spirtes, Carnegie Mellon University
published: Dec. 20, 2008, recorded: December 2008, views: 114

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Slides

Slides
0:00	Causal Structure Search: Philosophical Foundations and Problems
0:18	Outline
0:54	Causal Discovery - Goals
2:22	Causal Learning is Harder than Prediction
3:05	Causal Learning is Limited, but Rumsfeld
4:29	Recent Successes (1)
5:46	Recent Successes (2)
8:06	Philosophical Foundations of Causal Structure Learning
10:53	Philosophical Foundations of Causal Learning
12:27	Faithfulness
13:49	Modularity of Intervention/Manipulation (1)
15:29	Modularity of Intervention/Manipulation (2)
16:17	The Standard Set-up
16:48	Problems with the Standard Set-up
17:53	Faithfulness
19:25	Classical Measurement Error
21:00	Coarsening
21:56	TV -> Obesity
22:16	Measures of Exercise, Diet (1)
22:27	Measures of Exercise, Diet (2)
22:35	Screening Off and Aggregation: Genetic Regulatory Network Discovery
23:34	Causal Discovery in fMRI
24:34	Ambiguous Manipulations (1)
25:22	Ambiguous Manipulations (2)
26:18	Ambiguous Manipulations (3)
26:50	Ambiguous Manipulations (4)
27:24	Reversible/Constraint Systems
28:53	Decision Theory/Variable Construction for Causal Learning
29:58	Variable Construction for Causal Learning (1)
30:29	Variable Construction for Causal Learning (2)
30:30	Decision Theory for Causal Learning
31:25	Model Uncertainty for 1 set of constructed variables
32:47	Model Uncertainty for many sets of constructed variables
33:40	Thanks

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