Tom Norman

Robust Linear Regression for General Feature Distribution

We investigate robust linear regression where data may be contaminated by an oblivious adversary, i.e., an adversary that knows the data distribution but is otherwise oblivious to the realization of the data samples. This model has been previously analyzed under strong assumptions. Concretely, (i) a…