Before revision:  For both problems, three key properties are established: existence of useful predictions that give near optimal solutions, robustness of these predictions to errors that smoothly degrade as the underlying problem instance changes , and we prove high quality predictions can be learned from a small sample of prior instances .
After revision:  For both problems, two key properties are established: existence of useful predictions that give near optimal solutions, robustness of these predictions to errors that smoothly degrade as the underlying problem instance changes , and we prove high quality predictions can be learned from a small sample of prior instances .