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"NIPS Neural Information Processing Systems 8-11th December 2014, Montreal, Canada",,, "Paper ID:","1694" "Title:","An Integer Polynomial Programming Based Framework for Lifted MAP Inference" Current Reviews First provide a summary of the paper, and then address the following criteria: Quality, clarity, originality and significance. The authors propose a new method of performing lifted inference on Markov Logic Networks. The essence of the idea is to encode the MLN as an integer polynomial program, which is then transformed into an integer linear program (which could be solved with a conventional solver such as Gurobi or CPlex). The lifting as preprocessing idea due to Sarkhel et al. is appealing, and this paper extends it using ideas from probabilistic theorem proving. The idea is to extend the list of symmetries recognized by this lifted inference approach (Algorithm 1).