Stephen Macke

According to our database, Stephen Macke authored at least 13 papers between 2012 and 2022.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of three.

2022

Bolt-on, Compact, and Rapid Program Slicing for Notebooks [Scalable Data Science].

Shreya Shankar, Stephen Macke, Sarah E. Chasins, Andrew Head, Aditya G. Parameswaran

Proc. VLDB Endow., 2022

2021

Leveraging distributional context for safe and interactive data science at scale

Stephen Macke

PhD thesis, 2021

Fine-Grained Lineage for Safer Notebook Interactions.

Stephen Macke, Aditya G. Parameswaran, Hongpu Gong, Doris Jung Lin Lee, Doris Xin, Andrew Head

Proc. VLDB Endow., 2021

Rapid Approximate Aggregation with Distribution-Sensitive Interval Guarantees.

Stephen Macke, Maryam Aliakbarpour, Ilias Diakonikolas, Aditya G. Parameswaran, Ronitt Rubinfeld

Proceedings of the 37th IEEE International Conference on Data Engineering, 2021

Automating State Management in Computational Notebooks.

Stephen Macke

Proceedings of the 11th Conference on Innovative Data Systems Research, 2021

2020

Towards Scalable Dataframe Systems.

Devin Petersohn, William W. Ma, Doris Jung Lin Lee, Stephen Macke, Doris Xin, Xiangxi Mo, Joseph Gonzalez, Joseph M. Hellerstein, Anthony D. Joseph, Aditya G. Parameswaran

Proc. VLDB Endow., 2020

2019

A Human-in-the-loop Perspective on AutoML: Milestones and the Road Ahead.

Doris Jung Lin Lee, Stephen Macke, Doris Xin, Angela Lee, Silu Huang, Aditya G. Parameswaran

IEEE Data Eng. Bull., 2019

2018

Helix: Holistic Optimization for Accelerating Iterative Machine Learning.

Doris Xin, Stephen Macke, Litian Ma, Jialin Liu, Shuchen Song, Aditya G. Parameswaran

Proc. VLDB Endow., 2018

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

Doris Xin, Litian Ma, Jialin Liu, Stephen Macke, Shuchen Song, Aditya G. Parameswaran

Proc. VLDB Endow., 2018

Adaptive Sampling for Rapidly Matching Histograms.

Stephen Macke, Yiming Zhang, Silu Huang, Aditya G. Parameswaran

Proc. VLDB Endow., 2018

Towards a Theory of Data-Diff: Optimal Synthesis of Succinct Data Modification Scripts.

Tana Wattanawaroon, Stephen Macke, Aditya G. Parameswaran

CoRR, 2018

Accelerating Human-in-the-loop Machine Learning: Challenges and Opportunities.

Doris Xin, Litian Ma, Jialin Liu, Stephen Macke, Shuchen Song, Aditya G. Parameswaran

Proceedings of the Second Workshop on Data Management for End-To-End Machine Learning, 2018

2012

Systematic Redaction for Neuroimage Data.

Matt Matlock, Nakeisha Schimke, Liang Kong, Stephen Macke, John Hale

Int. J. Comput. Model. Algorithms Medicine, 2012