In the past decade, we have witnessed widespread adoption of Deep Neural Networks (DNNs) in several Machine Learning tasks. However, many critical domains, such as healthcare, finance, or law enforcement, transparency is crucial. particular, lack ability to conform with prior knowledge greatly affects trustworthiness predictive models. This paper contributes DNNs by promoting monotonicity. We d...

Common approaches to monotonic regression focus on the case of a unidimensional covariate and continuous dependent variable. Here a general approach is proposed that allows for additive and multiplicative structures where one or more variables have monotone influence on the dependent variable. In addition the approach allows for dependent variables from an exponential family, including binary a...