Before revision:  Using the proposed framework , we develop a simple kernel-based algorithm with consistency guarantees. Lastly, we give empirical results illustrating the advantages of our method over the existingtwo-stage algorithms .
After revision:  Using the proposed framework , we develop a simple kernel-based algorithm with a closed-form solution. Empirical results show that we are competitive to existing, more complicated algorithms for instrumental variable regression .