- Line 54: Is 'interpretable' program relevant to the notion described in the work of 'Doshi-Velez, F., & Kim, B. (2017). Towards a rigorous science of interpretable machine learning. arXiv preprint arXiv:1702.08608'? - Line 19, 37, 39: A reference for the 'Influence maximization' problem may be provided. The distribution may be more formally given (e.g. which p_{ij} sum to 1). To be able to refer to the joint distributions, there should be a more concrete statement of the p_{ij}. Or maybe a preamble of line 103. - Line 52: Some more details about the polynomial time character of the formulation may clarify your statement about the LP. - Line 103: The strategy space of the adversary implied in the equation is strongly pessimistic (why consider all possible correlations?). This can be used in a follow up work. It seems that it does not reduce the value of the current model.
- Line 54: Is 'interpretable' program relevant to the notion described in the work of 'Doshi-Velez, F., & Kim, B. (2017). Towards a rigorous science of interpretable machine learning. arXiv preprint arXiv:1702.08608'?