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Titlebook: Cause Effect Pairs in Machine Learning; Isabelle Guyon,Alexander Statnikov,Berna Bakir Bat Book 2019 Springer Nature Switzerland AG 2019 C

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Markov Blanket Ranking Using Kernel-Based Conditional Dependence Measuresriate combinations. We improve on this limitation by proposing a backward elimination method that uses a kernel-based conditional dependence measure to identify the Markov blanket in a fully multivariate fashion. The algorithm is easy to implement and compares favorably to other methods on synthetic and real datasets.
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Discriminant Learning Machinestate the advantages and limitations of the method as well as recent theoretical results (learning theory/mother distribution). This chapter will point to code from the winners of the cause-effect pair challenge.
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