70 citations · 71 across the 3 of their papers we have counts for
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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★ 1 cited
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…