From: ICML.cc/2021/Workshop/AML/Program_Chairs
title: Paper Decision
decision: Accept (Oral)
comment: The reviewer believed that this paper is worthy of more attention from the community. Overall, this is a good paper with solid results.

From: ICML.cc/2021/Workshop/AML/Paper46/Reviewer_VpG8
title: Interesting work
review: As far as I understand, this paper proves that several meta-approaches used in streaming algorithms (e.g., merge and reduce, row sampling) can prevent adversaries from affecting the independence of importance sampling on $u_t$. The conclusions are well-generalized for many machine learning and numerical algorithms, which is worthy of more attention from the community.
rating: Accept
confidence: 4: The reviewer is confident but not absolutely certain that the evaluation is correct