101 citations · 265 across the 19 of their papers we have counts for
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cs.DB2018★ 6 cited
Helix: Holistic Optimization for Accelerating Iterative Machine Learning
Doris Xin, Stephen Macke, Litian Ma +3
Machine learning workflow development is a process of trial-and-error: developers iterate on workflows by testing out small modifications until the desired accuracy is achieved. Un…
cs.DB2018★ 16 cited
Accelerating Human-in-the-loop Machine Learning: Challenges and Opportunities
Doris Xin, Litian Ma, Jialin Liu +3
Development of machine learning (ML) workflows is a tedious process of iterative experimentation: developers repeatedly make changes to workflows until the desired accuracy is atta…
cs.DB2017★ 1 cited
OrpheusDB: Bolt-on Versioning for Relational Databases
Silu Huang, Liqi Xu, Jialin Liu +2
Data science teams often collaboratively analyze datasets, generating dataset versions at each stage of iterative exploration and analysis. There is a pressing need for a system th…