3 ms·
As per the evaluation, STOKE works great. So if they made a hard problem harder, they clearly didn't make it too hard.
by pavpanchekha 13y ago
As per the evaluation, STOKE works great. So if they made a hard problem harder, they clearly didn't make it too hard.
- mturmon 13y agoLet's stipulate that it worked great on the problem they analyzed. That problem was really very simple. If they used a more appropriate technique, they could expand the domain of applicability significantly. Like I said, I've used MCMC for loosely-structured inference problems (but more structured than the one treated in the paper). I was doing MAP estimation (i.e., maximizing the objective function), just as in the paper. When speaking about my work, I was once asked "Why MCMC on such a hard problem if you're really just maximizing?" It's still a good question.