Several strategies have been developed recently to ensure valid inference after model selection; some of these are easy compute, while others fare better in terms inferential power. In this article, we consider a selective framework for Gaussian data. We propose new method through approximate maximum likelihood estimation. Our goal is to: (a) achieve power with the aid randomization, (b) bypass...