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From Auto-tuning One Size Fits All to Self-designed and Learned Data-intensive Systems.

, and . SIGMOD Conference, page 2054-2059. ACM, (2019)

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CASTLE: Crowd-Assisted System for Text Labeling and Extraction., , and . HCOMP, AAAI, (2013)SysML: The New Frontier of Machine Learning Systems., , , , , , , , , and 56 other author(s). CoRR, (2019)Leveraging Transitive Relations for Crowdsourced Joins., , , , and . CoRR, (2014)Estimating the Impact of Unknown Unknowns on Aggregate Query Results., , , and . CoRR, (2015)The End of a Myth: Distributed Transaction Can Scale., , , and . PVLDB, 10 (6): 685-696 (2017)The Case for Learned Index Structures., , , , and . CoRR, (2017)Distributed Machine Learning., , and . Encyclopedia of Database Systems (2nd ed.), Springer, (2018)Towards Interactive Curation & Automatic Tuning of ML Pipelines., , , , , , , , and . DEEM@SIGMOD, page 1:1-1:4. ACM, (2018)Machine Learning and Databases: The Sound of Things to Come or a Cacophony of Hype?, , , , , , and . SIGMOD Conference, page 283-284. ACM, (2015)Should we all be teaching "intro to data science" instead of "intro to databases"?, , , , , and . SIGMOD Conference, page 917-918. ACM, (2014)