From: NeurIPS.cc/2022/Workshop/HITY/Program_Chairs
title: Paper Decision
decision: Accept

From: NeurIPS.cc/2022/Workshop/HITY/Paper8/Reviewer_ShYi
title: Using hessian free optimization for late stage training
review: This paper evaluates the use of a hessian free second order optimizer for late stage training where first order methods are not making much progress.  The idea makes sense and seems promising on CIFAR-100 experiments.  Results don't seem great outside of CIFAR-100 but the idea still seems worth further investigation.
rating: 1: accept
confidence: 4: The reviewer is confident but not absolutely certain that the evaluation is correct

From: NeurIPS.cc/2022/Workshop/HITY/Paper8/Reviewer_qt6Q
title: Second-order Hessian-free methods in late-phase training
review: The authors empirically compare first-order methods with second-order Hessian-free methods in different stages of training in deep learning. The results look very promising and the content is clearly presented.
rating: 1: accept
confidence: 3: The reviewer is fairly confident that the evaluation is correct