5 ms·
The coolest part about differential privacy is its guarantees about over fitting.
by BucketSort 9y ago
The coolest part about differential privacy is its guarantees about over fitting.
- AdamSC1 9y agoOh I hadn't considered the statistical advantage here. You do lose out on a lot of human bias in the research process, but you also create blind errors that are hard to validate. I know in my work there is plenty of times I run analysis and go back and manually check some entries as a sanity check - pros and cons here!
- samscully 9y agoThe thresholdout method [0] for preventing overfitting on a test set is an interesting application of this. Here's a talk on differential privacy applied to the overfitting problem [1] [0] http://andyljones.tumblr.com/post/127547085623/holdout-reuse http://andyljones.tumblr.com/post/127547085623/holdout-reuse [1] https://www.youtube.com/watch?v=9mqXjdnZA18 https://www.youtube.com/watch?v=9mqXjdnZA18
- jmount 9y agoWe have some notes on using differential privacy to slow down over-fitting here: http://www.win-vector.com/blog/2015/10/a-simpler-explanation-of-differential-privacy/ http://www.win-vector.com/blog/2015/10/a-simpler-explanation...