Review for NeurIPS paper: Neural Architecture Generator Optimization

The authors showed results on a larger search space (with learnable stage ratios), which worked reasonable well (of course at the cost of much longer training time). While still some other design choices could be optimized, I do think this is an interesting and novel approach that could open up many future research and advance the field of NAS. Thus I think this paper should be accepted and I'm keeping my rating.