Department of Statistics, University of California, Davis; Department of Computer Science and Department of Statistical Sciences at the University of Toronto, and Vector Institute
Abhishek Roy, Krishnakumar Balasubramanian, Murat Erdogdu
non-iid learning;risk bounds;empirical risk minimization;concentration inequalities;small-ball method
On Empirical Risk Minimization with Dependent and Heavy-Tailed Data