We explore a method of encoding secret messages using factoradic numberi...
Using recent machine learning results that present an information-theore...
We present an information-theoretic framework for understanding overfitt...
Transfer learning involves taking information and insight from one probl...
Learning algorithms need bias to generalize and perform better than rand...
Building on the view of machine learning as search, we demonstrate the
n...
Casting machine learning as a type of search, we demonstrate that the
pr...
Spatio-temporal data is intrinsically high dimensional, so unsupervised
...