Lavanya Marla

PenDer: Incorporating Shape Constraints via Penalized Derivatives

When deploying machine learning models in the real-world, system designers may wish that models exhibit certain shape behavior, i.e., model outputs follow a particular shape with respect to input features. Trends such as monotonicity, convexity, diminishing or accelerating returns are some of the de…