Sainyam Galhotra

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 71

Top Topics

Entity Resolution

Influence Maximization

Correlation Clustering

Semantically Enriched

Top Venues

SIGMOD Conference

Proc. VLDB Endow.

Publications

Sainyam Galhotra, Joseph Y. Halpern
Intervention and Conditioning in Causal Bayesian Networks. CoRR (2024)
Yue Gong, Sainyam Galhotra, Raul Castro Fernandez
Nexus: Correlation Discovery over Collections of Spatio-Temporal Tabular Data. Proc. ACM Manag. Data 2 (3) (2024)
Abolfazl Asudeh, Sainyam Galhotra, Amir Gilad, Babak Salimi, Brit Youngmann
First Workshop on Governance, Understanding and Integration of Data for Effective and Responsible AI (GUIDE-AI). SIGMOD Conference Companion (2024)
Donatella Firmani, Sainyam Galhotra, Barna Saha, Divesh Srivastava
Building Taxonomies with Triplet Queries. SEBD (2024)
Yash Kurkure, Miles Shamo, Joseph Wiseman, Sainyam Galhotra, Stavros Sintos
. CoRR (2024)
Yash Kurkure, Miles Shamo, Joseph Wiseman, Sainyam Galhotra, Stavros Sintos
. Proc. ACM Manag. Data 2 (3) (2024)
Kevin Dharmawan, Chirag A. Kawediya, Yue Gong, Zaki Indra Yudhistira, Zhiru Zhu, Sainyam Galhotra, Adila Alfa Krisnadhi, Raul Castro Fernandez
Demonstration of Ver: View Discovery in the Wild. SIGMOD Conference Companion (2024)
Fangzhu Shen, Kayvon Heravi, Oscar Gomez, Sainyam Galhotra, Amir Gilad, Sudeepa Roy, Babak Salimi
Causal What-If and How-To Analysis Using HypeR. ICDE (2023)
Yue Gong, Zhiru Zhu, Sainyam Galhotra, Raul Castro Fernandez
Ver: View Discovery in the Wild. ICDE (2023)
Udayan Khurana, Kavitha Srinivas, Sainyam Galhotra, Horst Samulowitz
A Vision for Semantically Enriched Data Science. CoRR (2023)
Sainyam Galhotra, Yue Gong, Raul Castro Fernandez
Metam: Goal-Oriented Data Discovery. ICDE (2023)
Minbiao Han, Jonathan Light, Steven Xia, Sainyam Galhotra, Raul Castro Fernandez, Haifeng Xu
A Data-Centric Online Market for Machine Learning: From Discovery to Pricing. CoRR (2023)
Jiongli Zhu, Sainyam Galhotra, Nazanin Sabri, Babak Salimi
Consistent Range Approximation for Fair Predictive Modeling. Proc. VLDB Endow. 16 (11) (2023)
Sainyam Galhotra, Yue Gong, Raul Castro Fernandez
METAM: Goal-Oriented Data Discovery. CoRR (2023)
Sainyam Galhotra, Amir Gilad, Sudeepa Roy, Babak Salimi
HypeR: Hypothetical Reasoning With What-If and How-To Queries Using a Probabilistic Causal Approach. CoRR (2022)
Sainyam Galhotra, Anna Fariha, Raoni Lourenço, Juliana Freire, Alexandra Meliou, Divesh Srivastava
DataPrism: Exposing Disconnect between Data and Systems. SIGMOD Conference (2022)
Sainyam Galhotra, Karthikeyan Shanmugam, Prasanna Sattigeri, Kush R. Varshney
Causal Feature Selection for Algorithmic Fairness. SIGMOD Conference (2022)
Romila Pradhan, Aditya Lahiri, Sainyam Galhotra, Babak Salimi
Explainable AI: Foundations, Applications, Opportunities for Data Management Research. SIGMOD Conference (2022)
Romila Pradhan, Aditya Lahiri, Sainyam Galhotra, Babak Salimi
Explainable AI: Foundations, Applications, Opportunities for Data Management Research. ICDE (2022)
Sainyam Galhotra, Donatella Firmani, Barna Saha, Divesh Srivastava
Hierarchical Entity Resolution using an Oracle. SIGMOD Conference (2022)
Sainyam Galhotra, Udayan Khurana
Automated Relational Data Explanation using External Semantic Knowledge. Proc. VLDB Endow. 15 (12) (2022)
Javen Kennedy, Pranav Subramaniam, Sainyam Galhotra, Raul Castro Fernandez
Revisiting Online Data Markets in 2022: A Seller and Buyer Perspective. SIGMOD Rec. 51 (3) (2022)
Suman K. Bera, Syamantak Das, Sainyam Galhotra, Sagar Sudhir Kale
Fair k-Center Clustering in MapReduce and Streaming Settings. WWW (2022)
Jiongli Zhu, Nazanin Sabri, Sainyam Galhotra, Babak Salimi
Crab: Learning Certifiably Fair Predictive Models in the Presence of Selection Bias. CoRR (2022)
Sainyam Galhotra, Arya Mazumdar, Soumyabrata Pal, Barna Saha
Community Recovery in the Geometric Block Model. CoRR (2022)
Sainyam Galhotra, Amir Gilad, Sudeepa Roy, Babak Salimi
HypeR: Hypothetical Reasoning With What-If and How-To Queries Using a Probabilistic Causal Approach. SIGMOD Conference (2022)
Sainyam Galhotra, Sandhya Saisubramanian, Shlomo Zilberstein
Learning to Generate Fair Clusters from Demonstrations. AIES (2021)
Sainyam Galhotra, Romila Pradhan, Babak Salimi
Explaining Black-Box Algorithms Using Probabilistic Contrastive Counterfactuals. SIGMOD Conference (2021)
Sainyam Galhotra, Karthikeyan Shanmugam, Prasanna Sattigeri, Kush R. Varshney
Interventional Fairness with Indirect Knowledge of Unobserved Protected Attributes. Entropy 23 (12) (2021)
Sainyam Galhotra, Romila Pradhan, Babak Salimi
Explaining Black-Box Algorithms Using Probabilistic Contrastive Counterfactuals. CoRR (2021)
Sainyam Galhotra, Donatella Firmani, Barna Saha, Divesh Srivastava
Efficient and effective ER with progressive blocking. VLDB J. 30 (4) (2021)
Sainyam Galhotra, Behzad Golshan, Wang-Chiew Tan
Adaptive Rule Discovery for Labeling Text Data. SIGMOD Conference (2021)
Yue Gong, Zhiru Zhu, Sainyam Galhotra, Raul Castro Fernandez
Niffler: A Reference Architecture and System Implementation for View Discovery over Pathless Table Collections by Example. CoRR (2021)
Raghavendra Addanki, Sainyam Galhotra, Barna Saha
How to Design Robust Algorithms using Noisy Comparison Oracle. Proc. VLDB Endow. 14 (10) (2021)
Paul Y. Wang, Sainyam Galhotra, Romila Pradhan, Babak Salimi
Demonstration of Generating Explanations for Black-Box Algorithms Using Lewis. Proc. VLDB Endow. 14 (12) (2021)
Raghavendra Addanki, Sainyam Galhotra, Barna Saha
How to Design Robust Algorithms using Noisy Comparison Oracle. CoRR (2021)
Sainyam Galhotra, Anna Fariha, Raoni Lourenço, Juliana Freire, Alexandra Meliou, Divesh Srivastava
DataExposer: Exposing Disconnect between Data and Systems. CoRR (2021)
Sainyam Galhotra, Donatella Firmani, Barna Saha, Divesh Srivastava
BEER: Blocking for Effective Entity Resolution. SIGMOD Conference (2021)
Sainyam Galhotra, Sandhya Saisubramanian, Shlomo Zilberstein
Learning to Generate Fair Clusters from Demonstrations. CoRR (2021)
Udayan Khurana, Sainyam Galhotra
Semantic Concept Annotation for Tabular Data. CIKM (2021)
Sainyam Galhotra, Donatella Firmani, Barna Saha, Divesh Srivastava
Efficient and Effective ER with Progressive Blocking. CoRR (2020)
Sainyam Galhotra
Reliable Clustering with Applications to Data Integration. PhD@VLDB (2020)
Sainyam Galhotra, Udayan Khurana
Semantic Search over Structured Data. CIKM (2020)
Udayan Khurana, Sainyam Galhotra
Semantic Annotation for Tabular Data. CoRR (2020)
Sainyam Galhotra, Behzad Golshan, Wang-Chiew Tan
Adaptive Rule Discovery for Labeling Text Data. CoRR (2020)
Sainyam Galhotra, Karthikeyan Shanmugam, Prasanna Sattigeri, Kush R. Varshney
Fair Data Integration. CoRR (2020)
Sandhya Saisubramanian, Sainyam Galhotra, Shlomo Zilberstein
Balancing the Tradeoff Between Clustering Value and Interpretability. AIES (2020)
Saba Ahmadi, Sainyam Galhotra, Barna Saha, Roy Schwartz
Fair Correlation Clustering. CoRR (2020)
Sandhya Saisubramanian, Sainyam Galhotra, Shlomo Zilberstein
Balancing the Tradeoff Between Clustering Value and Interpretability. CoRR (2019)
Sainyam Galhotra, Udayan Khurana, Oktie Hassanzadeh, Kavitha Srinivas, Horst Samulowitz, Miao Qi
Automated Feature Enhancement for Predictive Modeling using External Knowledge. ICDM Workshops (2019)
Akhil Arora, Sainyam Galhotra, Sayan Ranu
Influence Maximization Revisited: The State of the Art and the Gaps that Remain. EDBT (2019)
Saba Ahmadi, Sainyam Galhotra, Samir Khuller, Barna Saha, Roy Schwartz
Min-Max Correlation Clustering via MultiCut. CoRR (2019)
Sainyam Galhotra, Donatella Firmani, Barna Saha, Divesh Srivastava
Crowd-Sourced Entity Resolution with Control Queries. SEBD (2019)
Sainyam Galhotra, Arya Mazumdar, Soumyabrata Pal, Barna Saha
Connectivity of Random Annulus Graphs and the Geometric Block Model. APPROX-RANDOM (2019)
Sainyam Galhotra, Sandhya Saisubramanian, Shlomo Zilberstein
Lexicographically Ordered Multi-Objective Clustering. CoRR (2019)
Sainyam Galhotra, Arya Mazumdar, Soumyabrata Pal, Barna Saha
The Geometric Block Model. AAAI (2018)
Sainyam Galhotra, Arya Mazumdar, Soumyabrata Pal, Barna Saha
Connectivity in Random Annulus Graphs and the Geometric Block Model. CoRR (2018)
Donatella Firmani, Sainyam Galhotra, Barna Saha, Divesh Srivastava
Robust Entity Resolution Using a CrowdOracle. IEEE Data Eng. Bull. 41 (2) (2018)
Sainyam Galhotra, Donatella Firmani, Barna Saha, Divesh Srivastava
Robust Entity Resolution using Random Graphs. SIGMOD Conference (2018)
Sainyam Galhotra, Soumyabrata Pal, Arya Mazumdar, Barna Saha
The Geometric Block Model and Applications. Allerton (2018)
Sainyam Galhotra, Yuriy Brun, Alexandra Meliou
Fairness Testing: Testing Software for Discrimination. CoRR (2017)
Sainyam Galhotra, Yuriy Brun, Alexandra Meliou
Fairness testing: testing software for discrimination. ESEC/SIGSOFT FSE (2017)
Akhil Arora, Sainyam Galhotra, Sayan Ranu
Debunking the Myths of Influence Maximization: An In-Depth Benchmarking Study. SIGMOD Conference (2017)
Sainyam Galhotra, Arya Mazumdar, Soumyabrata Pal, Barna Saha
The Geometric Block Model. CoRR (2017)
Sainyam Galhotra, Akhil Arora, Shourya Roy
Holistic Influence Maximization: Combining Scalability and Efficiency with Opinion-Aware Models. SIGMOD Conference (2016)
Shourya Roy, Ragunathan Mariappan, Sandipan Dandapat, Saurabh Srivastava, Sainyam Galhotra, Balaji Peddamuthu
: A System for Real-Time Holistic Quality Assurance for Contact Center Dialogues. AAAI (2016)
Sainyam Galhotra, Akhil Arora, Shourya Roy
Holistic Influence Maximization: Combining Scalability and Efficiency with Opinion-Aware Models. CoRR (2016)
Amitabha Bagchi, Sainyam Galhotra, Tarun Mangla, Cristina M. Pinotti
Optimal Radius for Connectivity in Duty-Cycled Wireless Sensor Networks. ACM Trans. Sens. Networks 11 (2) (2015)
Sainyam Galhotra, Akhil Arora, Srinivas Virinchi, Shourya Roy
ASIM: A Scalable Algorithm for Influence Maximization under the Independent Cascade Model. WWW (Companion Volume) (2015)
Sainyam Galhotra, Amitabha Bagchi, Srikanta Bedathur, Maya Ramanath, Vidit Jain
Tracking the Conductance of Rapidly Evolving Topic-Subgraphs. Proc. VLDB Endow. 8 (13) (2015)
Deepali Semwal, Sonal Patil, Sainyam Galhotra, Akhil Arora, Narayanan Unny
STAR: Real-time Spatio-Temporal Analysis and Prediction of Traffic Insights using Social Media. CODS Companion Volume (2015)
Amitabha Bagchi, Maria Cristina Pinotti, Sainyam Galhotra, Tarun Mangla
Optimal Radius for Connectivity in Duty-Cycled Wireless Sensor Networks. CoRR (2014)
Vidit Jain, Sainyam Galhotra
Min-d-Occur: Ensuring Future Occurrences in Streaming Sets. UAI (2014)
Amitabha Bagchi, Cristina M. Pinotti, Sainyam Galhotra, Tarun Mangla
Optimal radius for connectivity in duty-cycled wireless sensor networks. MSWiM (2013)