Hoseein Hajimirsadeghi

Monotonicity regularization: Improved penalties and novel applications to disentangled representation learning and robust classification

We study settings where gradient penalties are used alongside risk minimization with the goal of obtaining predictors satisfying different notions of monotonicity. Specifically, we present two sets of contributions. In the first part of the paper, we show that different choices of penalties define t…