Min-d-Occur: Ensuring Future Occurrences in Streaming Sets. - Vidit Jain; Sainyam Galhotra (UAI, 2014)

STAR: Real-time Spatio-Temporal Analysis and Prediction of Traffic Insights using Social Media. - Deepali Semwal; Sonal Patil; Sainyam Galhotra; Akhil Arora 001; Narayanan Unny (CODS Companion Volume, 2015)

ASIM: A Scalable Algorithm for Influence Maximization under the Independent Cascade Model. - Sainyam Galhotra; Akhil Arora 001; Srinivas Virinchi; Shourya Roy (WWW (Companion Volume), 2015)

Tracking the Conductance of Rapidly Evolving Topic-Subgraphs. - Sainyam Galhotra; Amitabha Bagchi; Srikanta Bedathur; Maya Ramanath; Vidit Jain (Proc. VLDB Endow., 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)

QART: A System for Real-Time Holistic Quality Assurance for Contact Center Dialogues. - Shourya Roy; Ragunathan Mariappan; Sandipan Dandapat; Saurabh Srivastava; Sainyam Galhotra; Balaji Peddamuthu (AAAI, 2016)

Holistic Influence Maximization: Combining Scalability and Efficiency with Opinion-Aware Models. - Sainyam Galhotra; Akhil Arora 001; Shourya Roy (SIGMOD Conference, 2016)

Debunking the Myths of Influence Maximization: An In-Depth Benchmarking Study. - Akhil Arora 001; Sainyam Galhotra; Sayan Ranu (SIGMOD Conference, 2017)

Fairness testing: testing software for discrimination. - Sainyam Galhotra; Yuriy Brun; Alexandra Meliou (ESEC/SIGSOFT FSE, 2017)

The Geometric Block Model. - Sainyam Galhotra; Arya Mazumdar; Soumyabrata Pal; Barna Saha (AAAI, 2018)

The Geometric Block Model and Applications. - Sainyam Galhotra; Soumyabrata Pal; Arya Mazumdar; Barna Saha (Allerton, 2018)

Robust Entity Resolution using Random Graphs. - Sainyam Galhotra; Donatella Firmani; Barna Saha; Divesh Srivastava (SIGMOD Conference, 2018)

Robust Entity Resolution Using a CrowdOracle. - Donatella Firmani; Sainyam Galhotra; Barna Saha; Divesh Srivastava (IEEE Data Eng. Bull., 2018)

Connectivity of Random Annulus Graphs and the Geometric Block Model. - Sainyam Galhotra; Arya Mazumdar; Soumyabrata Pal; Barna Saha (APPROX-RANDOM, 2019)

Influence Maximization Revisited: The State of the Art and the Gaps that Remain. - Akhil Arora 001; Sainyam Galhotra; Sayan Ranu (EDBT, 2019)

Automated Feature Enhancement for Predictive Modeling using External Knowledge. - Sainyam Galhotra; Udayan Khurana; Oktie Hassanzadeh; Kavitha Srinivas; Horst Samulowitz; Miao Qi (ICDM Workshops, 2019)

Crowd-Sourced Entity Resolution with Control Queries. - Sainyam Galhotra; Donatella Firmani; Barna Saha; Divesh Srivastava (SEBD, 2019)

Lexicographically Ordered Multi-Objective Clustering. - Sainyam Galhotra; Sandhya Saisubramanian; Shlomo Zilberstein (CoRR, 2019)

Min-Max Correlation Clustering via MultiCut. - Saba Ahmadi; Sainyam Galhotra; Samir Khuller; Barna Saha; Roy Schwartz 002 (CoRR, 2019)

Balancing the Tradeoff Between Clustering Value and Interpretability. - Sandhya Saisubramanian; Sainyam Galhotra; Shlomo Zilberstein (AIES, 2020)

Semantic Search over Structured Data. - Sainyam Galhotra; Udayan Khurana (CIKM, 2020)

Reliable Clustering with Applications to Data Integration. - Sainyam Galhotra (PhD@VLDB, 2020)

Fair Correlation Clustering. - Saba Ahmadi; Sainyam Galhotra; Barna Saha; Roy Schwartz 002 (CoRR, 2020)

Fair Data Integration. - Sainyam Galhotra; Karthikeyan Shanmugam; Prasanna Sattigeri; Kush R. Varshney (CoRR, 2020)

Semantic Annotation for Tabular Data. - Udayan Khurana; Sainyam Galhotra (CoRR, 2020)

Learning to Generate Fair Clusters from Demonstrations. - Sainyam Galhotra; Sandhya Saisubramanian; Shlomo Zilberstein (AIES, 2021)

Semantic Concept Annotation for Tabular Data. - Udayan Khurana; Sainyam Galhotra (CIKM, 2021)

BEER: Blocking for Effective Entity Resolution. - Sainyam Galhotra; Donatella Firmani; Barna Saha; Divesh Srivastava (SIGMOD Conference, 2021)

Adaptive Rule Discovery for Labeling Text Data. - Sainyam Galhotra; Behzad Golshan; Wang-Chiew Tan (SIGMOD Conference, 2021)

Explaining Black-Box Algorithms Using Probabilistic Contrastive Counterfactuals. - Sainyam Galhotra; Romila Pradhan; Babak Salimi (SIGMOD Conference, 2021)

DataExposer: Exposing Disconnect between Data and Systems. - Sainyam Galhotra; Anna Fariha; Raoni Lourenço; Juliana Freire; Alexandra Meliou; Divesh Srivastava (CoRR, 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)

Interventional Fairness with Indirect Knowledge of Unobserved Protected Attributes. - Sainyam Galhotra; Karthikeyan Shanmugam; Prasanna Sattigeri; Kush R. Varshney (Entropy, 2021)

How to Design Robust Algorithms using Noisy Comparison Oracle. - Raghavendra Addanki; Sainyam Galhotra; Barna Saha (Proc. VLDB Endow., 2021)

Demonstration of Generating Explanations for Black-Box Algorithms Using Lewis. - Paul Y. Wang; Sainyam Galhotra; Romila Pradhan; Babak Salimi (Proc. VLDB Endow., 2021)

Efficient and effective ER with progressive blocking. - Sainyam Galhotra; Donatella Firmani; Barna Saha; Divesh Srivastava (VLDB J., 2021)

Explainable AI: Foundations, Applications, Opportunities for Data Management Research. - Romila Pradhan; Aditya Lahiri; Sainyam Galhotra; Babak Salimi (ICDE, 2022)

DataPrism: Exposing Disconnect between Data and Systems. - Sainyam Galhotra; Anna Fariha; Raoni Lourenço; Juliana Freire; Alexandra Meliou; Divesh Srivastava (SIGMOD Conference, 2022)

Hierarchical Entity Resolution using an Oracle. - Sainyam Galhotra; Donatella Firmani; Barna Saha; Divesh Srivastava (SIGMOD Conference, 2022)

HypeR: Hypothetical Reasoning With What-If and How-To Queries Using a Probabilistic Causal Approach. - Sainyam Galhotra; Amir Gilad; Sudeepa Roy 001; Babak Salimi (SIGMOD Conference, 2022)

Causal Feature Selection for Algorithmic Fairness. - Sainyam Galhotra; Karthikeyan Shanmugam; Prasanna Sattigeri; Kush R. Varshney (SIGMOD Conference, 2022)

Fair k-Center Clustering in MapReduce and Streaming Settings. - Suman K. Bera 001; Syamantak Das; Sainyam Galhotra; Sagar Sudhir Kale (WWW, 2022)

Crab: Learning Certifiably Fair Predictive Models in the Presence of Selection Bias. - Jiongli Zhu; Nazanin Sabri; Sainyam Galhotra; Babak Salimi (CoRR, 2022)

Automated Relational Data Explanation using External Semantic Knowledge. - Sainyam Galhotra; Udayan Khurana (Proc. VLDB Endow., 2022)

Revisiting Online Data Markets in 2022: A Seller and Buyer Perspective. - Javen Kennedy; Pranav Subramaniam; Sainyam Galhotra; Raul Castro Fernandez (SIGMOD Rec., 2022)

Metam: Goal-Oriented Data Discovery. - Sainyam Galhotra; Yue Gong; Raul Castro Fernandez (ICDE, 2023)

Ver: View Discovery in the Wild. - Yue Gong; Zhiru Zhu; Sainyam Galhotra; Raul Castro Fernandez (ICDE, 2023)

Causal What-If and How-To Analysis Using HypeR. - Fangzhu Shen; Kayvon Heravi; Oscar Gomez; Sainyam Galhotra; Amir Gilad; Sudeepa Roy 001; Babak Salimi (ICDE, 2023)

A Vision for Semantically Enriched Data Science. - Udayan Khurana; Kavitha Srinivas; Sainyam Galhotra; Horst Samulowitz (CoRR, 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)

Community Recovery in the Geometric Block Model. - Sainyam Galhotra; Arya Mazumdar; Soumyabrata Pal; Barna Saha (J. Mach. Learn. Res., 2023)

Consistent Range Approximation for Fair Predictive Modeling. - Jiongli Zhu; Sainyam Galhotra; Nazanin Sabri; Babak Salimi (Proc. VLDB Endow., 2023)

TQL: Towards Type-Driven Data Discovery. - Andrew Y. Kang; Sainyam Galhotra (IEEE Big Data, 2024)

Intervention and Conditioning in Causal Bayesian Networks. - Sainyam Galhotra; Joseph Y. Halpern (NeurIPS, 2024)

Building Taxonomies with Triplet Queries. - Donatella Firmani; Sainyam Galhotra; Barna Saha; Divesh Srivastava (SEBD, 2024)

First Workshop on Governance, Understanding and Integration of Data for Effective and Responsible AI (GUIDE-AI). - Abolfazl Asudeh; Sainyam Galhotra; Amir Gilad; Babak Salimi; Brit Youngmann (SIGMOD Conference Companion, 2024)

Demonstration of Ver: View Discovery in the Wild. - Kevin Dharmawan; Chirag A. Kawediya; Yue Gong; Zaki Indra Yudhistira; Zhiru Zhu; Sainyam Galhotra; Adila Alfa Krisnadhi; Raul Castro Fernandez (SIGMOD Conference Companion, 2024)

2nd International Workshop on Tabular Data Analysis (TaDA). - Vasilis Efthymiou; Sainyam Galhotra; Oktie Hassanzadeh; Chuan Lei; Kavitha Srinivas (VLDB Workshops, 2024)

Nexus: Correlation Discovery over Collections of Spatio-Temporal Tabular Data. - Yue Gong; Sainyam Galhotra; Raul Castro Fernandez (Proc. ACM Manag. Data, 2024)

Faster Algorithms for Fair Max-Min Diversification in Rd. - Yash Kurkure; Miles Shamo; Joseph Wiseman; Sainyam Galhotra; Stavros Sintos (Proc. ACM Manag. Data, 2024)

Fainder: A Fast and Accurate Index for Distribution-Aware Dataset Search. - Lennart Behme; Sainyam Galhotra; Kaustubh Beedkar; Volker Markl (Proc. VLDB Endow., 2024)

k-Clustering with Comparison and Distance Oracles. - Sainyam Galhotra; Rahul Raychaudhury; Stavros Sintos (Proc. ACM Manag. Data, 2024)

Metric Clustering and Graph Optimization Problems using Weak Comparison Oracles. - Rahul Raychaudhury; Wen-Zhi Li; Syamantak Das; Sainyam Galhotra; Stavros Sintos (COLT, 2025)

SeerCuts: Explainable Attribute Discretization. - Eugenie Y. Lai; Inbal Croitoru; Noam Bitton; Ariel Shalem; Brit Youngmann; Sainyam Galhotra; El Kindi Rezig; Michael J. Cafarella (SIGMOD Conference Companion, 2025)

Privacy and Security in Distributed Data Markets. - Daniel Alabi; Sainyam Galhotra; Shagufta Mehnaz; Zeyu Song; Eugene Wu 002 (IACR Cryptol. ePrint Arch., 2025)

A Theoretical Framework for Distribution-Aware Dataset Search. - Aryan Esmailpour; Sainyam Galhotra; Rahul Raychaudhury; Stavros Sintos (Proc. ACM Manag. Data, 2025)

Fair and Actionable Causal Prescription Ruleset. - Benton Li; Nativ Levy; Brit Youngmann; Sainyam Galhotra; Sudeepa Roy 001 (Proc. ACM Manag. Data, 2025)

VeriMinder: Mitigating Analytical Vulnerabilities in NL2SQL. - Shubham Mohole; Sainyam Galhotra (CoRR, 2025)

VERIRAG: Healthcare Claim Verification via Statistical Audit in Retrieval-Augmented Generation. - Shubham Mohole; Hongjun Choi; Shusen Liu 001; Christine Klymko; Shashank Kushwaha; Derek Shi; Wesam Sakla; Sainyam Galhotra; Ruben Glatt (CoRR, 2025)

SIFOTL: A Principled, Statistically-Informed Fidelity-Optimization Method for Tabular Learning. - Shubham Mohole; Sainyam Galhotra (CoRR, 2025)

TQL: Towards Type-Driven Data Discovery. - Andrew Kang; Sainyam Galhotra (CoRR, 2025)

Towards General-Purpose Data Discovery: A Programming Languages Approach. - Andrew Kang; Yashnil Saha; Sainyam Galhotra (CoRR, 2025)