70 citations · 70 across the 1 of their papers we have counts for
2 papers
cs.DB2019★ 70 cited
SkinnerDB: Regret-Bounded Query Evaluation via Reinforcement Learning
Immanuel Trummer, Junxiong Wang, Deepak Maram +3
SkinnerDB is designed from the ground up for reliable join ordering. It maintains no data statistics and uses no cost or cardinality models. Instead, it uses reinforcement learning…
cs.DB2018
Verifying Text Summaries of Relational Data Sets
Saehan Jo, Immanuel Trummer, Weicheng Yu +4
We present a novel natural language query interface, the AggChecker, aimed at text summaries of relational data sets. The tool focuses on natural language claims that translate int…