Sainyam Galhotra

According to our database, Sainyam Galhotra authored at least 52 papers between 2014 and 2023.

Collaborative distances:

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

2023

Consistent Range Approximation for Fair Predictive Modeling.

Jiongli Zhu, Sainyam Galhotra, Nazanin Sabri, Babak Salimi

Proc. VLDB Endow., 2023

A Data-Centric Online Market for Machine Learning: From Discovery to Pricing.

Minbiao Han, Jonathan Light, Steven Xia, Sainyam Galhotra, Raul Castro Fernandez, Haifeng Xu

CoRR, 2023

A Vision for Semantically Enriched Data Science.

Udayan Khurana, Kavitha Srinivas, Sainyam Galhotra, Horst Samulowitz

CoRR, 2023

Causal What-If and How-To Analysis Using HypeR.

Fangzhu Shen, Kayvon Heravi, Oscar Gomez, Sainyam Galhotra, Amir Gilad, Sudeepa Roy, Babak Salimi

Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

Ver: View Discovery in the Wild.

Yue Gong, Zhiru Zhu, Sainyam Galhotra, Raul Castro Fernandez

Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

Metam: Goal-Oriented Data Discovery.

Sainyam Galhotra, Yue Gong, Raul Castro Fernandez

Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

2022

Revisiting Online Data Markets in 2022: A Seller and Buyer Perspective.

Javen Kennedy, Pranav Subramaniam, Sainyam Galhotra, Raul Castro Fernandez

SIGMOD Rec., 2022

Automated Relational Data Explanation using External Semantic Knowledge.

Sainyam Galhotra, Udayan Khurana

Proc. VLDB Endow., 2022

Crab: Learning Certifiably Fair Predictive Models in the Presence of Selection Bias.

Jiongli Zhu, Nazanin Sabri, Sainyam Galhotra, Babak Salimi

CoRR, 2022

Community Recovery in the Geometric Block Model.

Sainyam Galhotra, Arya Mazumdar, Soumyabrata Pal, Barna Saha

CoRR, 2022

Fair k-Center Clustering in MapReduce and Streaming Settings.

Suman K. Bera, Syamantak Das, Sainyam Galhotra, Sagar Sudhir Kale

Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

Causal Feature Selection for Algorithmic Fairness.

Sainyam Galhotra, Karthikeyan Shanmugam, Prasanna Sattigeri, Kush R. Varshney

Proceedings of the SIGMOD '22: International Conference on Management of Data, Philadelphia, PA, USA, June 12, 2022

HypeR: Hypothetical Reasoning With What-If and How-To Queries Using a Probabilistic Causal Approach.

Sainyam Galhotra, Amir Gilad, Sudeepa Roy, Babak Salimi

Proceedings of the SIGMOD '22: International Conference on Management of Data, Philadelphia, PA, USA, June 12, 2022

Hierarchical Entity Resolution using an Oracle.

Sainyam Galhotra, Donatella Firmani, Barna Saha, Divesh Srivastava

Proceedings of the SIGMOD '22: International Conference on Management of Data, Philadelphia, PA, USA, June 12, 2022

DataPrism: Exposing Disconnect between Data and Systems.

Sainyam Galhotra, Anna Fariha, Raoni Lourenço, Juliana Freire, Alexandra Meliou, Divesh Srivastava

Proceedings of the SIGMOD '22: International Conference on Management of Data, Philadelphia, PA, USA, June 12, 2022

Explainable AI: Foundations, Applications, Opportunities for Data Management Research.

Romila Pradhan, Aditya Lahiri, Sainyam Galhotra, Babak Salimi

Proceedings of the 38th IEEE International Conference on Data Engineering, 2022

2021

Efficient and effective ER with progressive blocking.

Sainyam Galhotra, Donatella Firmani, Barna Saha, Divesh Srivastava

VLDB J., 2021

Demonstration of Generating Explanations for Black-Box Algorithms Using Lewis.

Paul Y. Wang, Sainyam Galhotra, Romila Pradhan, Babak Salimi

Proc. VLDB Endow., 2021

How to Design Robust Algorithms using Noisy Comparison Oracle.

Raghavendra Addanki, Sainyam Galhotra, Barna Saha

Proc. VLDB Endow., 2021

Interventional Fairness with Indirect Knowledge of Unobserved Protected Attributes.

Sainyam Galhotra, Karthikeyan Shanmugam, Prasanna Sattigeri, Kush R. Varshney

Entropy, 2021

Niffler: A Reference Architecture and System Implementation for View Discovery over Pathless Table Collections by Example.

Yue Gong, Zhiru Zhu, Sainyam Galhotra, Raul Castro Fernandez

CoRR, 2021

DataExposer: Exposing Disconnect between Data and Systems.

Sainyam Galhotra, Anna Fariha, Raoni Lourenço, Juliana Freire, Alexandra Meliou, Divesh Srivastava

CoRR, 2021

Explaining Black-Box Algorithms Using Probabilistic Contrastive Counterfactuals.

Sainyam Galhotra, Romila Pradhan, Babak Salimi

Proceedings of the SIGMOD '21: International Conference on Management of Data, 2021

Adaptive Rule Discovery for Labeling Text Data.

Sainyam Galhotra, Behzad Golshan, Wang-Chiew Tan

Proceedings of the SIGMOD '21: International Conference on Management of Data, 2021

BEER: Blocking for Effective Entity Resolution.

Sainyam Galhotra, Donatella Firmani, Barna Saha, Divesh Srivastava

Proceedings of the SIGMOD '21: International Conference on Management of Data, 2021

Semantic Concept Annotation for Tabular Data.

Udayan Khurana, Sainyam Galhotra

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

Learning to Generate Fair Clusters from Demonstrations.

Sainyam Galhotra, Sandhya Saisubramanian, Shlomo Zilberstein

Proceedings of the AIES '21: AAAI/ACM Conference on AI, 2021

2020

Semantic Annotation for Tabular Data.

Udayan Khurana, Sainyam Galhotra

CoRR, 2020

Fair Data Integration.

Sainyam Galhotra, Karthikeyan Shanmugam, Prasanna Sattigeri, Kush R. Varshney

CoRR, 2020

Fair Correlation Clustering.

Saba Ahmadi, Sainyam Galhotra, Barna Saha, Roy Schwartz

CoRR, 2020

Reliable Clustering with Applications to Data Integration.

Sainyam Galhotra

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.

Sainyam Galhotra, Udayan Khurana

Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

Balancing the Tradeoff Between Clustering Value and Interpretability.

Sandhya Saisubramanian, Sainyam Galhotra, Shlomo Zilberstein

Proceedings of the AIES '20: AAAI/ACM Conference on AI, 2020

2019

Min-Max Correlation Clustering via MultiCut.

Saba Ahmadi, Sainyam Galhotra, Samir Khuller, Barna Saha, Roy Schwartz

CoRR, 2019

Lexicographically Ordered Multi-Objective Clustering.

Sainyam Galhotra, Sandhya Saisubramanian, Shlomo Zilberstein

CoRR, 2019

Crowd-Sourced Entity Resolution with Control Queries.

Sainyam Galhotra, Donatella Firmani, Barna Saha, Divesh Srivastava

Proceedings of the 27th Italian Symposium on Advanced Database Systems, 2019

Automated Feature Enhancement for Predictive Modeling using External Knowledge.

Sainyam Galhotra, Udayan Khurana, Oktie Hassanzadeh, Kavitha Srinivas, Horst Samulowitz, Miao Qi

Proceedings of the 2019 International Conference on Data Mining Workshops, 2019

Influence Maximization Revisited: The State of the Art and the Gaps that Remain.

Akhil Arora, Sainyam Galhotra, Sayan Ranu

Proceedings of the Advances in Database Technology, 2019

Connectivity of Random Annulus Graphs and the Geometric Block Model.

Sainyam Galhotra, Arya Mazumdar, Soumyabrata Pal, Barna Saha

Proceedings of the Approximation, 2019

2018

Robust Entity Resolution Using a CrowdOracle.

Donatella Firmani, Sainyam Galhotra, Barna Saha, Divesh Srivastava

IEEE Data Eng. Bull., 2018

Robust Entity Resolution using Random Graphs.

Sainyam Galhotra, Donatella Firmani, Barna Saha, Divesh Srivastava

Proceedings of the 2018 International Conference on Management of Data, 2018

The Geometric Block Model and Applications.

Sainyam Galhotra, Soumyabrata Pal, Arya Mazumdar, Barna Saha

Proceedings of the 56th Annual Allerton Conference on Communication, 2018

The Geometric Block Model.

Sainyam Galhotra, Arya Mazumdar, Soumyabrata Pal, Barna Saha

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017

Fairness testing: testing software for discrimination.

Sainyam Galhotra, Yuriy Brun, Alexandra Meliou

Proceedings of the 2017 11th Joint Meeting on Foundations of Software Engineering, 2017

Debunking the Myths of Influence Maximization: An In-Depth Benchmarking Study.

Akhil Arora, Sainyam Galhotra, Sayan Ranu

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

2016

Holistic Influence Maximization: Combining Scalability and Efficiency with Opinion-Aware Models.

Sainyam Galhotra, Akhil Arora, Shourya Roy

Proceedings of the 2016 International Conference on Management of Data, 2016

QA^RT: A System for Real-Time Holistic Quality Assurance for Contact Center Dialogues.

Shourya Roy, Ragunathan Mariappan, Sandipan Dandapat, Saurabh Srivastava, Sainyam Galhotra, Balaji Peddamuthu

Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015

Optimal Radius for Connectivity in Duty-Cycled Wireless Sensor Networks.

Amitabha Bagchi, Sainyam Galhotra, Tarun Mangla, Cristina M. Pinotti

ACM Trans. Sens. Networks, 2015

Tracking the Conductance of Rapidly Evolving Topic-Subgraphs.

Sainyam Galhotra, Amitabha Bagchi, Srikanta Bedathur, Maya Ramanath, Vidit Jain

Proc. VLDB Endow., 2015

ASIM: A Scalable Algorithm for Influence Maximization under the Independent Cascade Model.

Sainyam Galhotra, Akhil Arora, Srinivas Virinchi, Shourya Roy

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.

Deepali Semwal, Sonal Patil, Sainyam Galhotra, Akhil Arora, Narayanan Unny

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.

Vidit Jain, Sainyam Galhotra

Proceedings of the Thirtieth Conference on Uncertainty in Artificial Intelligence, 2014