Bias has a continuous possibly increasing relationship with the input which has definite mean effect and is apt to have a Poisson distribution whereas rounding is discrete (only renders an effect at regular intervals) and does not render a mean overall effect. The probability of it being feasible to control one with the other is therefore zero. A better and tried and tested idea would be either feed back or feed forward a predictive or measured negation of the bias.