Stephen Macke - RankMe

20 papers A* 1A 1Journal 16Unranked 1

Year	Rank	Type	Title / Venue / Authors
2022	J	`jnl`	Bolt-on, Compact, and Rapid Program Slicing for Notebooks [Scalable Data Science]. Proc. VLDB Endow. Shreya Shankar, Stephen Macke, Sarah E. Chasins, Andrew Head, Aditya G. Parameswaran
2021	A	`conf`	Automating State Management in Computational Notebooks. CIDR Stephen Macke
2021	J	`jnl`	Fine-Grained Lineage for Safer Notebook Interactions. Proc. VLDB Endow. Stephen Macke, Aditya G. Parameswaran, Hongpu Gong, Doris Jung Lin Lee, Doris Xin, Andrew Head
2021	—	`—`	Leveraging distributional context for safe and interactive data science at scale Stephen Macke
2021	A*	`conf`	Rapid Approximate Aggregation with Distribution-Sensitive Interval Guarantees. ICDE Stephen Macke, Maryam Aliakbarpour, Ilias Diakonikolas, Aditya G. Parameswaran, Ronitt Rubinfeld
2020	J	`jnl`	Fine-Grained Lineage for Safer Notebook Interactions. CoRR Stephen Macke, Hongpu Gong, Doris Jung Lin Lee, Andrew Head, Doris Xin, Aditya G. Parameswaran
2020	J	`jnl`	Rapid Approximate Aggregation with Distribution-Sensitive Interval Guarantees. CoRR Stephen Macke, Maryam Aliakbarpour, Ilias Diakonikolas, Aditya G. Parameswaran, Ronitt Rubinfeld
2020	J	`jnl`	Towards Scalable Dataframe Systems. CoRR 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
2020	J	`jnl`	Towards Scalable Dataframe Systems. Proc. VLDB Endow. 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
2019	J	`jnl`	A Human-in-the-loop Perspective on AutoML: Milestones and the Road Ahead. IEEE Data Eng. Bull. Doris Jung Lin Lee, Stephen Macke, Doris Xin, Angela Lee, Silu Huang, Aditya G. Parameswaran
2018	—	`conf`	Accelerating Human-in-the-loop Machine Learning: Challenges and Opportunities. DEEM@SIGMOD Doris Xin, Litian Ma, Jialin Liu, Stephen Macke, Shuchen Song, Aditya G. Parameswaran
2018	J	`jnl`	Accelerating Human-in-the-loop Machine Learning: Challenges and Opportunities. CoRR Doris Xin, Litian Ma, Jialin Liu, Stephen Macke, Shuchen Song, Aditya G. Parameswaran
2018	J	`jnl`	Adaptive Sampling for Rapidly Matching Histograms. Proc. VLDB Endow. Stephen Macke, Yiming Zhang, Silu Huang, Aditya G. Parameswaran
2018	J	`jnl`	Helix: Accelerating Human-in-the-loop Machine Learning. CoRR Doris Xin, Litian Ma, Jialin Liu, Stephen Macke, Shuchen Song, Aditya G. Parameswaran
2018	J	`jnl`	Helix: Accelerating Human-in-the-loop Machine Learning. Proc. VLDB Endow. Doris Xin, Litian Ma, Jialin Liu, Stephen Macke, Shuchen Song, Aditya G. Parameswaran
2018	J	`jnl`	Helix: Holistic Optimization for Accelerating Iterative Machine Learning. CoRR Doris Xin, Stephen Macke, Litian Ma, Jialin Liu, Shuchen Song, Aditya G. Parameswaran
2018	J	`jnl`	Helix: Holistic Optimization for Accelerating Iterative Machine Learning. Proc. VLDB Endow. Doris Xin, Stephen Macke, Litian Ma, Jialin Liu, Shuchen Song, Aditya G. Parameswaran
2018	J	`jnl`	Towards a Theory of Data-Diff: Optimal Synthesis of Succinct Data Modification Scripts. CoRR Tana Wattanawaroon, Stephen Macke, Aditya G. Parameswaran
2017	J	`jnl`	Adaptive Sampling for Rapidly Matching Histograms. CoRR Stephen Macke, Yiming Zhang, Silu Huang, Aditya G. Parameswaran
2012	J	`jnl`	Systematic Redaction for Neuroimage Data. Int. J. Comput. Model. Algorithms Medicine Matt Matlock, Nakeisha Schimke, Liang Kong, Stephen Macke, John Hale