Reviews: Launch and Iterate: Reducing Prediction Churn

The problem articulated and addressed by the paper is important, the techniques introduces are very general in their applicability, and the experimental results successfully demonstrate the utility of the techniques to addressing the problem. The fixed-point MCMC approach is very conceptually compelling, although it lacked theoretical analysis and rigor, and appeared to be not that significant to achieving good results (the results suggest a single iteration may be sufficient). After reading the highly suggestive section on the Markov chain, the theoretical results appeared underwhelming. A rigorous analysis of the Markov chain would have made the paper more self-contained and increased its technical strength. Alternatively, focusing on the single-step stabilization operator case, and obtaining more general theoretical results within that restricted setting, would have made the paper more self-contained and cohesive.