Stephen Macke

Publication Activity (10 Years)

Years Active: 2012-2022
Publications (10 Years): 18

Top Topics

Machine Learning

Program Slicing

Adaptive Sampling

Top Venues

Proc. VLDB Endow.

Publications

Shreya Shankar, Stephen Macke, Sarah Chasins, Andrew Head, Aditya G. Parameswaran
Bolt-on, Compact, and Rapid Program Slicing for Notebooks [Scalable Data Science]. Proc. VLDB Endow. 15 (13) (2022)
Stephen Macke, Aditya G. Parameswaran, Hongpu Gong, Doris Jung Lin Lee, Doris Xin, Andrew Head
Fine-Grained Lineage for Safer Notebook Interactions. Proc. VLDB Endow. 14 (6) (2021)
Stephen Macke
Automating State Management in Computational Notebooks. CIDR (2021)
Stephen Macke, Maryam Aliakbarpour, Ilias Diakonikolas, Aditya G. Parameswaran, Ronitt Rubinfeld
Rapid Approximate Aggregation with Distribution-Sensitive Interval Guarantees. ICDE (2021)
Stephen Macke, Maryam Aliakbarpour, Ilias Diakonikolas, Aditya G. Parameswaran, Ronitt Rubinfeld
Rapid Approximate Aggregation with Distribution-Sensitive Interval Guarantees. CoRR (2020)
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
Towards Scalable Dataframe Systems. Proc. VLDB Endow. 13 (11) (2020)
Stephen Macke, Hongpu Gong, Doris Jung Lin Lee, Andrew Head, Doris Xin, Aditya G. Parameswaran
Fine-Grained Lineage for Safer Notebook Interactions. CoRR (2020)
Devin Petersohn, William W. Ma, Doris Jung Lin Lee, Stephen Macke, Doris Xin, Xiangxi Mo, Joseph E. Gonzalez, Joseph M. Hellerstein, Anthony D. Joseph, Aditya G. Parameswaran
Towards Scalable Dataframe Systems. CoRR (2020)
Doris Jung Lin Lee, Stephen Macke, Doris Xin, Angela Lee, Silu Huang, Aditya G. Parameswaran
A Human-in-the-loop Perspective on AutoML: Milestones and the Road Ahead. IEEE Data Eng. Bull. 42 (2) (2019)
Doris Xin, Litian Ma, Jialin Liu, Stephen Macke, Shuchen Song, Aditya G. Parameswaran
Accelerating Human-in-the-loop Machine Learning: Challenges and Opportunities. DEEM@SIGMOD (2018)
Doris Xin, Litian Ma, Jialin Liu, Stephen Macke, Shuchen Song, Aditya G. Parameswaran
Helix: Accelerating Human-in-the-loop Machine Learning. CoRR (2018)
Doris Xin, Stephen Macke, Litian Ma, Jialin Liu, Shuchen Song, Aditya G. Parameswaran
Helix: Holistic Optimization for Accelerating Iterative Machine Learning. Proc. VLDB Endow. 12 (4) (2018)
Doris Xin, Litian Ma, Jialin Liu, Stephen Macke, Shuchen Song, Aditya G. Parameswaran
Helix: Accelerating Human-in-the-loop Machine Learning. Proc. VLDB Endow. 11 (12) (2018)
Doris Xin, Stephen Macke, Litian Ma, Jialin Liu, Shuchen Song, Aditya G. Parameswaran
Helix: Holistic Optimization for Accelerating Iterative Machine Learning. CoRR (2018)
Doris Xin, Litian Ma, Jialin Liu, Stephen Macke, Shuchen Song, Aditya G. Parameswaran
Accelerating Human-in-the-loop Machine Learning: Challenges and Opportunities. CoRR (2018)
Tana Wattanawaroon, Stephen Macke, Aditya G. Parameswaran
Towards a Theory of Data-Diff: Optimal Synthesis of Succinct Data Modification Scripts. CoRR (2018)
Stephen Macke, Yiming Zhang, Silu Huang, Aditya G. Parameswaran
Adaptive Sampling for Rapidly Matching Histograms. Proc. VLDB Endow. 11 (10) (2018)
Stephen Macke, Yiming Zhang, Silu Huang, Aditya G. Parameswaran
Adaptive Sampling for Rapidly Matching Histograms. CoRR (2017)
Matt Matlock, Nakeisha Schimke, Liang Kong, Stephen Macke, John Hale
Systematic Redaction for Neuroimage Data. Int. J. Comput. Model. Algorithms Medicine 3 (2) (2012)