  We propose a generalized formulation of the Huber loss. We show that with a
suitable function of choice, specifically the log-exp transform; we can achieve
a loss function which combines the desirable properties of both the absolute
and the quadratic loss. We provide an algorithm to find the minimizer of such
loss functions and show that finding a centralizing metric is not that much
harder than the traditional mean and median.
