Here is the complete list of oral exam questions along with their answers:
The Empirical Risk Minimization (ERM) involves finding the best hypothesis from a given hypothesis class in order to minimize the empirical risk (or training error), which is the average loss over a training set.
Formally, for a hypothesis class $ \mathcal{H}={h: X\rightarrow Y}$ and a loss function