Supplement: Novel Upper Bounds for the Constrained Most Probable Explanation Task
–Neural Information Processing Systems
It is well known that any MPE task can be encoded as an integer linear programming (ILP) problem (cf. A popular or widely used formulation is to associate a Boolean variable with each entry in each function of the log-linear model. When the Boolean variable is assigned the value 1, the entry is selected, otherwise it is not. For instance, a type of consistency constraint encodes the restriction that only entry from each function must be selected. A second type of consistency constraint ensures that if two functions share a variable then only entries which assign the shared variable to the same value are selected.
Neural Information Processing Systems
May-28-2025, 21:18:43 GMT