3 ms·
Some domains are chaotic, some are very large, some are dynamic. In some domains errors of some types matter much more than other errors. Minor assumption fail
by sgt101 8y ago
Some domains are chaotic, some are very large, some are dynamic. In some domains errors of some types matter much more than other errors.
Minor assumption failures can suddenly matter alot.
The distinction between a lab result and a field trial has been somewhat lost in ml, there will be hell to pay in the long term...
- srean 8y ago> Minor assumption failures can suddenly matter alot. Indeed. In fact this is nowadays painfully obvious in Fisher's maximum-likelihood based estimators -- they do not have nice 'continuity' properties that will give a graceful degradation. We figured out how to deal with this once the problem was recognized. However, we see the same problem raising its head in some of the deep neural net literature. Tiny variations often does not cause tiny distortions in the output -- thats cause for some legitimate concern.