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12/13/2020
Fine-Grained Lineage for Safer Notebook Interactions
Computational notebooks have emerged as the platform of choice for data ...
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08/10/2020
Rapid Approximate Aggregation with Distribution-Sensitive Interval Guarantees
Aggregating data is fundamental to data analytics, data exploration, and...
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01/03/2020
Towards Scalable Dataframe Systems
Dataframes are a popular and convenient abstraction to represent, struct...
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12/14/2018
Helix: Holistic Optimization for Accelerating Iterative Machine Learning
Machine learning workflow development is a process of trial-and-error: d...
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08/03/2018
Helix: Accelerating Human-in-the-loop Machine Learning
Data application developers and data scientists spend an inordinate amou...
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04/16/2018
Accelerating Human-in-the-loop Machine Learning: Challenges and Opportunities
Development of machine learning (ML) workflows is a tedious process of i...
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01/19/2018
Towards a Theory of Data-Diff: Optimal Synthesis of Succinct Data Modification Scripts
This paper addresses the Data-Diff problem: given a dataset and a subseq...
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08/20/2017