Unrolled Inference

Happy New Year! My New Year’s resolution is to be less afraid of non-convex optimization. Statistically there is a high likelihood that I will return to only optimizing convex losses by February :).But here’s a fun paper along these lines in the meantime, Deep Fried Convnets. The idea here is to use a fast kernel approximation to replace the fully…
Original post: Unrolled Inference
Source: Machined Learnings

The NIPS experiment

Corinna Cortes and Neil Lawrence ran the NIPS experiment where 1/10th of papers submitted to NIPS went through the NIPS review process twice, and then the accept/reject decision was compared. This was a great experiment, so kudos to NIPS for being willing to do it and to Corinna & Neil for doing it. The 26% disagreement rate presented at the…
Original post: The NIPS experiment
Source: Machine Learning (Theory)