Sainyam Galhotra

According to our database1, Sainyam Galhotra authored at least 26 papers between 2014 and 2020.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Other 

Links

On csauthors.net:

Bibliography

2020
Fair Data Integration.
CoRR, 2020

Efficient and Effective ER with Progressive Blocking.
CoRR, 2020

Adaptive Rule Discovery for Labeling Text Data.
CoRR, 2020

Fair Correlation Clustering.
CoRR, 2020

Reliable Clustering with Applications to Data Integration.
Proceedings of the VLDB 2020 PhD Workshop co-located with the 46th International Conference on Very Large Databases (VLDB 2020), ONLINE, August 31, 2020

Semantic Search over Structured Data.
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

Balancing the Tradeoff Between Clustering Value and Interpretability.
Proceedings of the AIES '20: AAAI/ACM Conference on AI, 2020

2019
Min-Max Correlation Clustering via MultiCut.
CoRR, 2019

Lexicographically Ordered Multi-Objective Clustering.
CoRR, 2019

Crowd-Sourced Entity Resolution with Control Queries.
Proceedings of the 27th Italian Symposium on Advanced Database Systems, 2019

Automated Feature Enhancement for Predictive Modeling using External Knowledge.
Proceedings of the 2019 International Conference on Data Mining Workshops, 2019

Influence Maximization Revisited: The State of the Art and the Gaps that Remain.
Proceedings of the Advances in Database Technology, 2019

Connectivity of Random Annulus Graphs and the Geometric Block Model.
Proceedings of the Approximation, 2019

2018
Robust Entity Resolution Using a CrowdOracle.
IEEE Data Eng. Bull., 2018

Robust Entity Resolution using Random Graphs.
Proceedings of the 2018 International Conference on Management of Data, 2018

The Geometric Block Model and Applications.
Proceedings of the 56th Annual Allerton Conference on Communication, 2018

The Geometric Block Model.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
Fairness testing: testing software for discrimination.
Proceedings of the 2017 11th Joint Meeting on Foundations of Software Engineering, 2017

Debunking the Myths of Influence Maximization: An In-Depth Benchmarking Study.
Proceedings of the 2017 ACM International Conference on Management of Data, 2017

2016
Holistic Influence Maximization: Combining Scalability and Efficiency with Opinion-Aware Models.
Proceedings of the 2016 International Conference on Management of Data, 2016

QA<sup>RT</sup>: A System for Real-Time Holistic Quality Assurance for Contact Center Dialogues.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015
Optimal Radius for Connectivity in Duty-Cycled Wireless Sensor Networks.
ACM Trans. Sens. Networks, 2015

Tracking the Conductance of Rapidly Evolving Topic-Subgraphs.
Proc. VLDB Endow., 2015

ASIM: A Scalable Algorithm for Influence Maximization under the Independent Cascade Model.
Proceedings of the 24th International Conference on World Wide Web Companion, 2015

STAR: Real-time Spatio-Temporal Analysis and Prediction of Traffic Insights using Social Media.
Proceedings of the Companion Volume to the Proceedings of the 2nd IKDD Conference on Data Sciences, 2015

2014
Min-d-Occur: Ensuring Future Occurrences in Streaming Sets.
Proceedings of the Thirtieth Conference on Uncertainty in Artificial Intelligence, 2014


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