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∙ 05/14/2022

The Sky Above The Clouds

Technology ecosystems often undergo significant transformations as they ...

0 Sarah Chasins, et al. ∙

∙ 08/31/2021

Towards Observability for Machine Learning Pipelines

Software organizations are increasingly incorporating machine learning (...

0 Shreya Shankar, et al. ∙

∙ 03/30/2021

Production Machine Learning Pipelines: Empirical Analysis and Optimization Opportunities

Machine learning (ML) is now commonplace, powering data-driven applicati...

0 Doris Xin, et al. ∙

∙ 02/14/2021

Deconstructing Categorization in Visualization Recommendation: A Taxonomy and Comparative Study

Visualization recommendation (VisRec) systems provide users with suggest...

0 Doris Jung-Lin Lee, et al. ∙

∙ 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...

0 Doris Xin, et al. ∙

∙ 12/13/2020

Fine-Grained Lineage for Safer Notebook Interactions

Computational notebooks have emerged as the platform of choice for data ...

0 Stephen Macke, et al. ∙

∙ 08/10/2020

Rapid Approximate Aggregation with Distribution-Sensitive Interval Guarantees

Aggregating data is fundamental to data analytics, data exploration, and...

0 Stephen Macke, et al. ∙

∙ 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...

0 Angela Lee, et al. ∙

∙ 01/03/2020

Towards Scalable Dataframe Systems

Dataframes are a popular and convenient abstraction to represent, struct...

0 Devin Petersohn, et al. ∙

∙ 07/26/2019

SCATTERSEARCH: Visual Querying of Scatterplot Visualizations

Scatterplots are one of the simplest and most commonly-used visualizatio...

0 Doris Jung-Lin Lee, et al. ∙

∙ 12/14/2018

Helix: Holistic Optimization for Accelerating Iterative Machine Learning

Machine learning workflow development is a process of trial-and-error: d...

0 Doris Xin, et al. ∙

∙ 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...

0 Tarique Siddiqui, et al. ∙

∙ 08/03/2018

Helix: Accelerating Human-in-the-loop Machine Learning

Data application developers and data scientists spend an inordinate amou...

0 Doris Xin, et al. ∙

∙ 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...

0 Doris Xin, et al. ∙

∙ 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...

0 Doris Xin, et al. ∙

∙ 02/10/2018

Low-Norm Graph Embedding

Learning distributed representations for nodes in graphs has become an i...

0 Yihan Gao, et al. ∙

∙ 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...

0 Tana Wattanawaroon, et al. ∙

∙ 01/11/2018

Characterizing Scalability Issues in Spreadsheet Software using Online Forums

In traditional usability studies, researchers talk to users of tools to ...

0 Kelly Mack, et al. ∙

∙ 10/02/2017

Accelerating Scientific Data Exploration via Visual Query Systems

The increasing availability of rich and complex data in a variety of sci...

0 Doris Jung-Lin Lee, et al. ∙

∙ 08/29/2017

Navigating the Data Lake with Datamaran: Automatically Extracting Structure from Log Datasets

Organizations routinely accumulate semi-structured log datasets generate...

0 Yihan Gao, et al. ∙

∙ 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...

0 Mangesh Bendre, et al. ∙

∙ 08/20/2017

Adaptive Sampling for Rapidly Matching Histograms

In exploratory data analysis, analysts often have a need to identify his...

0 Stephen Macke, et al. ∙

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