Venue: ICML 2021 Workshop AML

Reviews:

final_score: rating: Accept
review_content: 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.
review_title: Interesting work

Meta-review: The reviewer believed that this paper is worthy of more attention from the community. Overall, this is a good paper with solid results.
Decision: Accept (Oral)