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

From: NeurIPS.cc/2022/Workshop/HITY/Paper4/Reviewer_bSRe
title: Review
review: This paper proposes an efficient method for survival analysis using neural networks. I'm not familiar with the topic, but the paper is well-written and initial results seem to look good. 
rating: 1: accept
confidence: 2: The reviewer is willing to defend the evaluation, but it is quite likely that the reviewer did not understand central parts of the paper

From: NeurIPS.cc/2022/Workshop/HITY/Paper4/Reviewer_imci
title: This paper proposes FastCPH, a CosPH method for survival analysis in neural networks
review: The authors introduce FastCPH as a novel CoxPH implementation. It runs in O(n), enables deep learning while including tie-awareness as well as efron/breslow approximations. It is the first method that does this, and I hence vote 'accept'.
rating: 1: accept
confidence: 2: The reviewer is willing to defend the evaluation, but it is quite likely that the reviewer did not understand central parts of the paper