The Gauss Markov theorem states that the weighted least squares estimator is a linear minimum variance unbiased estimation (MVUE) in models. In this paper, we take first step towards extending result to non-linear settings via deep learning with bias constraints. classical approach designing MVUEs through maximum likelihood (MLE) which often involves real-time computationally challenging optimi...