Reviews: Fixing Implicit Derivatives: Trust-Region Based Learning of Continuous Energy Functions

The reviewers agree that there exist some interesting technical details in the paper, but they raise concerns regarding the novelty of the technique and the absence of end-to-end feature learning in some of the experiments. That said, the introduction of the lambda term to regularize the Hessian even though straightforward is likely to lead to more stable meta-learning and non-trivial performance gains. Accordingly I recommend accept as a poster. For the record, I asked for an additional unofficial feedback from another expert in the field and they provided me with the following comments: " I would give it a weak accept. The main contribution seems to be a gradient update wrt to hyperparameters.