Computer scientists consider the second possibility very unlikely. In fact, computer scientists often find it easier to develop a deterministic algorithm by starting with a randomized version and then ...

Based on this, the dominant methods in practice are based on either heuristics or local optimization algorithms, producing sub- optimal ... In this talk, we propose a new training framework with ...