Edward Gan

According to our database, Edward Gan authored at least 15 papers between 2012 and 2021.

Collaborative distances:

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

2021

DIFF: a relational interface for large-scale data explanation.

Firas Abuzaid, Peter Kraft, Sahaana Suri, Edward Gan, Eric Xu, Atul Shenoy, Asvin Ananthanarayan, John Sheu, Erik Meijer, Xi Wu, Jeffrey F. Naughton, Peter Bailis, Matei Zaharia

VLDB J., 2021

2020

Data summaries for scalable, high-cardinality analytics.

Edward Gan

PhD thesis, 2020

Approximate Selection with Guarantees using Proxies.

Daniel Kang, Edward Gan, Peter Bailis, Tatsunori Hashimoto, Matei Zaharia

Proc. VLDB Endow., 2020

CoopStore: Optimizing Precomputed Summaries for Aggregation.

Edward Gan, Peter Bailis, Moses Charikar

Proc. VLDB Endow., 2020

Storyboard: Optimizing Precomputed Summaries for Aggregation.

Edward Gan, Peter Bailis, Moses Charikar

CoRR, 2020

2019

CrossTrainer: Practical Domain Adaptation with Loss Reweighting.

Justin Chen, Edward Gan, Kexin Rong, Sahaana Suri, Peter Bailis

Proceedings of the 3rd International Workshop on Data Management for End-to-End Machine Learning, 2019

2018

MacroBase: Prioritizing Attention in Fast Data.

Firas Abuzaid, Peter Bailis, Jialin Ding, Edward Gan, Samuel Madden, Deepak Narayanan, Kexin Rong, Sahaana Suri

ACM Trans. Database Syst., 2018

Moment-Based Quantile Sketches for Efficient High Cardinality Aggregation Queries.

Edward Gan, Jialin Ding, Kai Sheng Tai, Vatsal Sharan, Peter Bailis

Proc. VLDB Endow., 2018

DIFF: A Relational Interface for Large-Scale Data Explanation.

Firas Abuzaid, Peter Kraft, Sahaana Suri, Edward Gan, Eric Xu, Atul Shenoy, Asvin Anathanaraya, John Sheu, Erik Meijer, Xi Wu, Jeffrey F. Naughton, Peter Bailis, Matei Zaharia

Proc. VLDB Endow., 2018

2017

Scalable Kernel Density Classification via Threshold-Based Pruning.

Edward Gan, Peter Bailis

Proceedings of the 2017 ACM International Conference on Management of Data, 2017

Demonstration: MacroBase, A Fast Data Analysis Engine.

Peter Bailis, Edward Gan, Kexin Rong, Sahaana Suri

Proceedings of the 2017 ACM International Conference on Management of Data, 2017

MacroBase: Prioritizing Attention in Fast Data.

Peter Bailis, Edward Gan, Samuel Madden, Deepak Narayanan, Kexin Rong, Sahaana Suri

Proceedings of the 2017 ACM International Conference on Management of Data, 2017

Prioritizing Attention in Analytic Monitoring.

Peter Bailis, Edward Gan, Kexin Rong, Sahaana Suri

Proceedings of the 8th Biennial Conference on Innovative Data Systems Research, 2017

2014

Type Classes for Lightweight Substructural Types.

Edward Gan, Jesse A. Tov, Greg Morrisett

Proceedings of the Proceedings Third International Workshop on Linearity, 2014

2012

RockSalt: better, faster, stronger SFI for the x86.

Greg Morrisett, Gang Tan, Joseph Tassarotti, Jean-Baptiste Tristan, Edward Gan

Proceedings of the ACM SIGPLAN Conference on Programming Language Design and Implementation, 2012