Call for Papers
Paper submission is now closed.Example Topics
Possible areas of relevance include but are not limited to:
- Synthesis or comparison of alternative approaches to causal inference.
- Causal structure learning via regularization/priors.
- Using non-parametric constraints for structure learning in the presence of confounding; this includes, for example,
- generalized conditional independences,
- general polynomial constraints, or
- semi-algebraic approaches.
- Methods exploiting (non-)linearity or additivity.
- Approaches for learning structure from deterministic data.
- Algorithms for learning from overlapping datasets.
- Methods for combining experimental and observational data.
- Procedures for selecting experiments.
- Methods for predicting the effects of interventions in an observed system.
- Efficient data structures and algorithms for causal structure searches.
- Methods for analyzing causal pathways.
- Applications of causal structure learning to real-world datasets.
- Experimental design for causal inference.
Important Dates
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| 15 July 2013 | Workshop (following the UAI2013 main conference, Jul 12-14) |