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05/14/2022
The Sky Above The Clouds
Technology ecosystems often undergo significant transformations as they ...
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08/31/2021
Towards Observability for Machine Learning Pipelines
Software organizations are increasingly incorporating machine learning (...
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03/30/2021
Production Machine Learning Pipelines: Empirical Analysis and Optimization Opportunities
Machine learning (ML) is now commonplace, powering data-driven applicati...
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02/14/2021
Deconstructing Categorization in Visualization Recommendation: A Taxonomy and Comparative Study
Visualization recommendation (VisRec) systems provide users with suggest...
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01/13/2021
Whither AutoML? Understanding the Role of Automation in Machine Learning Workflows
Efforts to make machine learning more widely accessible have led to a ra...
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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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05/04/2020
Demystifying a Dark Art: Understanding Real-World Machine Learning Model Development
It is well-known that the process of developing machine learning (ML) wo...
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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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07/26/2019
SCATTERSEARCH: Visual Querying of Scatterplot Visualizations
Scatterplots are one of the simplest and most commonly-used visualizatio...
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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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11/19/2018
ShapeSearch: A Flexible and Efficient System for Shape-based Exploration of Trendlines
Identifying trendline visualizations with desired patterns is a common a...
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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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03/27/2018
How Developers Iterate on Machine Learning Workflows -- A Survey of the Applied Machine Learning Literature
Machine learning workflow development is anecdotally regarded to be an i...
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02/10/2018
Low-Norm Graph Embedding
Learning distributed representations for nodes in graphs has become an 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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01/11/2018
Characterizing Scalability Issues in Spreadsheet Software using Online Forums
In traditional usability studies, researchers talk to users of tools to ...
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10/02/2017
Accelerating Scientific Data Exploration via Visual Query Systems
The increasing availability of rich and complex data in a variety of sci...
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08/29/2017
Navigating the Data Lake with Datamaran: Automatically Extracting Structure from Log Datasets
Organizations routinely accumulate semi-structured log datasets generate...
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08/22/2017
Towards a Holistic Integration of Spreadsheets with Databases: A Scalable Storage Engine for Presentational Data Management
Spreadsheet software is the tool of choice for interactive ad-hoc data m...
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08/20/2017