Control variates is a variance reduction technique used in Monte Carlo simulations to improve the precision of the estimated parameters by leveraging the known properties of related variables. By correlating the control variate with the output variable, the method reduces the variance of the estimator, thus enhancing the efficiency of the simulation process.