1 citations · 1 across the 3 of their papers we have counts for
3 papers
cs.DB2022
Optimizing Machine Learning Inference Queries with Correlative Proxy Models
Zhihui Yang, Zuozhi Wang, Yicong Huang +3
We consider accelerating machine learning (ML) inference queries on unstructured datasets. Expensive operators such as feature extractors and classifiers are deployed as user-defin…
math.ST2021★ 1 cited
Q-error Bounds of Random Uniform Sampling for Cardinality Estimation
Beibin Li, Yao Lu, Chi Wang +1
Random uniform sampling has been studied in various statistical tasks but few of them have covered the Q-error metric for cardinality estimation (CE). In this paper, we analyze the…
cs.DB2020
Approximate Partition Selection for Big-Data Workloads using Summary Statistics
Kexin Rong, Yao Lu, Peter Bailis +2
Many big-data clusters store data in large partitions that support access at a coarse, partition-level granularity. As a result, approximate query processing via row-level sampling…