Sainyam Galhotra

104 papers A* 9A 4B 2C 2Journal 58Unranked 28

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Metric k-clustering using only Weak Comparison Oracles. CoRR Rahul Raychaudhury, Aryan Esmailpour, Sainyam Galhotra, Stavros Sintos
2026	J	`jnl`	Octopus: A Lightweight Entity-Aware System for Multi-Table Data Discovery and Cell-Level Retrieval. CoRR Wen-Zhi Li, Sainyam Galhotra
2026	J	`jnl`	Pruning Minimal Reasoning Graphs for Efficient Retrieval-Augmented Generation. CoRR Ning Wang, Kuanyan Zhu, Daniel Yuehwoon Yee, Yitang Gao, Shiying Huang, Zirun Xu, Sainyam Galhotra
2025	J	`jnl`	A Theoretical Framework for Distribution-Aware Dataset Search. CoRR Aryan Esmailpour, Sainyam Galhotra, Rahul Raychaudhury, Stavros Sintos
2025	J	`jnl`	A Theoretical Framework for Distribution-Aware Dataset Search. Proc. ACM Manag. Data Aryan Esmailpour, Sainyam Galhotra, Rahul Raychaudhury, Stavros Sintos
2025	J	`jnl`	Benchmarking Robust Aggregation in Decentralized Gradient Marketplaces. CoRR Zeyu Song, Sainyam Galhotra, Shagufta Mehnaz
2025	J	`jnl`	Causal Fuzzing for Verifying Machine Unlearning. CoRR Anna Mazhar, Sainyam Galhotra
2025	J	`jnl`	Debugging Concept Bottleneck Models through Removal and Retraining. CoRR Eric Enouen, Sainyam Galhotra
2025	—	`conf`	FAIR-SHEPHERD: An Interactive System for Auditable Fairness via Population-Grounded Surrogates. ICDM (Workshops) Shubham Mohole, Sainyam Galhotra
2025	J	`jnl`	Fair and Actionable Causal Prescription Ruleset. CoRR Benton Li, Nativ Levy, Brit Youngmann, Sainyam Galhotra, Sudeepa Roy
2025	J	`jnl`	Fair and Actionable Causal Prescription Ruleset. Proc. ACM Manag. Data Benton Li, Nativ Levy, Brit Youngmann, Sainyam Galhotra, Sudeepa Roy
2025	A*	`conf`	Metric Clustering and Graph Optimization Problems using Weak Comparison Oracles. COLT Rahul Raychaudhury, Wen-Zhi Li, Syamantak Das, Sainyam Galhotra, Stavros Sintos
2025	—	`conf`	Privacy and Security in Distributed Data Markets. SIGMOD Conference Companion Daniel Alabi, Sainyam Galhotra, Shagufta Mehnaz, Zeyu Song, Eugene Wu
2025	J	`jnl`	Privacy and Security in Distributed Data Markets. IACR Cryptol. ePrint Arch. Daniel Alabi, Sainyam Galhotra, Shagufta Mehnaz, Zeyu Song, Eugene Wu
2025	J	`jnl`	QJoin: Transformation-aware Joinable Data Discovery Using Reinforcement Learning. CoRR Ning Wang, Sainyam Galhotra
2025	J	`jnl`	SIFOTL: A Principled, Statistically-Informed Fidelity-Optimization Method for Tabular Learning. CoRR Shubham Mohole, Sainyam Galhotra
2025	—	`conf`	SeerCuts: Explainable Attribute Discretization. SIGMOD Conference Companion Eugenie Y. Lai, Inbal Croitoru, Noam Bitton, Ariel Shalem, Brit Youngmann, Sainyam Galhotra, El Kindi Rezig, Michael J. Cafarella
2025	J	`jnl`	TQL: Towards Type-Driven Data Discovery. CoRR Andrew Kang, Sainyam Galhotra
2025	J	`jnl`	Towards General-Purpose Data Discovery: A Programming Languages Approach. CoRR Andrew Kang, Yashnil Saha, Sainyam Galhotra
2025	—	`conf`	VERIRAG: Healthcare Claim Verification via Statistical Audit in Retrieval-Augmented Generation. BCB Shubham Mohole, Hongjun Choi, Shusen Liu, Christine Klymko, Shashank Kushwaha, Derek Shi, Wesam A. Sakla, Sainyam Galhotra, Ruben Glatt
2025	J	`jnl`	VERIRAG: Healthcare Claim Verification via Statistical Audit in Retrieval-Augmented Generation. CoRR Shubham Mohole, Hongjun Choi, Shusen Liu, Christine Klymko, Shashank Kushwaha, Derek Shi, Wesam A. Sakla, Sainyam Galhotra, Ruben Glatt
2025	—	`conf`	VeriMinder: Mitigating Analytical Vulnerabilities in NL2SQL. ACL (3) Shubham Mohole, Sainyam Galhotra
2025	J	`jnl`	VeriMinder: Mitigating Analytical Vulnerabilities in NL2SQL. CoRR Shubham Mohole, Sainyam Galhotra
2024	—	`conf`	2nd International Workshop on Tabular Data Analysis (TaDA). VLDB Workshops Vasilis Efthymiou, Sainyam Galhotra, Oktie Hassanzadeh, Chuan Lei, Kavitha Srinivas
2024	—	`conf`	Building Taxonomies with Triplet Queries. SEBD Donatella Firmani, Sainyam Galhotra, Barna Saha, Divesh Srivastava
2024	—	`conf`	Demonstration of Ver: View Discovery in the Wild. SIGMOD Conference Companion Kevin Dharmawan, Chirag A. Kawediya, Yue Gong, Zaki Indra Yudhistira, Zhiru Zhu, Sainyam Galhotra, Adila Alfa Krisnadhi, Raul Castro Fernandez
2024	J	`jnl`	Fainder: A Fast and Accurate Index for Distribution-Aware Dataset Search. Proc. VLDB Endow. Lennart Behme, Sainyam Galhotra, Kaustubh Beedkar, Volker Markl
2024	J	`jnl`	Faster Algorithms for Fair Max-Min Diversification in R CoRR Yash Kurkure, Miles Shamo, Joseph Wiseman, Sainyam Galhotra, Stavros Sintos
2024	J	`jnl`	Faster Algorithms for Fair Max-Min Diversification in R Proc. ACM Manag. Data Yash Kurkure, Miles Shamo, Joseph Wiseman, Sainyam Galhotra, Stavros Sintos
2024	—	`conf`	First Workshop on Governance, Understanding and Integration of Data for Effective and Responsible AI (GUIDE-AI). SIGMOD Conference Companion Abolfazl Asudeh, Sainyam Galhotra, Amir Gilad, Babak Salimi, Brit Youngmann
2024	A*	`conf`	Intervention and Conditioning in Causal Bayesian Networks. NeurIPS Sainyam Galhotra, Joseph Y. Halpern
2024	J	`jnl`	Intervention and Conditioning in Causal Bayesian Networks. CoRR Sainyam Galhotra, Joseph Y. Halpern
2024	J	`jnl`	Nexus: Correlation Discovery over Collections of Spatio-Temporal Tabular Data. Proc. ACM Manag. Data Yue Gong, Sainyam Galhotra, Raul Castro Fernandez
2024	B	`conf`	TQL: Towards Type-Driven Data Discovery. IEEE Big Data Andrew Y. Kang, Sainyam Galhotra
2024	J	`jnl`	k-Clustering with Comparison and Distance Oracles. Proc. ACM Manag. Data Sainyam Galhotra, Rahul Raychaudhury, Stavros Sintos
2023	J	`jnl`	A Data-Centric Online Market for Machine Learning: From Discovery to Pricing. CoRR Minbiao Han, Jonathan Light, Steven Xia, Sainyam Galhotra, Raul Castro Fernandez, Haifeng Xu
2023	J	`jnl`	A Vision for Semantically Enriched Data Science. CoRR Udayan Khurana, Kavitha Srinivas, Sainyam Galhotra, Horst Samulowitz
2023	A*	`conf`	Causal What-If and How-To Analysis Using HypeR. ICDE Fangzhu Shen, Kayvon Heravi, Oscar Gomez, Sainyam Galhotra, Amir Gilad, Sudeepa Roy, Babak Salimi
2023	J	`jnl`	Community Recovery in the Geometric Block Model. J. Mach. Learn. Res. Sainyam Galhotra, Arya Mazumdar, Soumyabrata Pal, Barna Saha
2023	J	`jnl`	Consistent Range Approximation for Fair Predictive Modeling. Proc. VLDB Endow. Jiongli Zhu, Sainyam Galhotra, Nazanin Sabri, Babak Salimi
2023	—	`ed.`	Joint Proceedings of Workshops at the 49th International Conference on Very Large Data Bases (VLDB 2023), Vancouver, Canada, August 28 - September 1, 2023. VLDB Workshops Rajesh Bordawekar, Cinzia Cappiello, Vasilis Efthymiou, Lisa Ehrlinger, Vijay Gadepally, Sainyam Galhotra, Sandra Geisler, Sven Groppe, Le Gruenwald, Alon Y. Halevy, Hazar Harmouch, Oktie Hassanzadeh, Ihab F. Ilyas, Ernesto Jiménez-Ruiz, Sanjay Krishnan, Tirthankar Lahiri, Guoliang Li, Jiaheng Lu, Wolfgang Mauerer, Umar Farooq Minhas, Felix Naumann, M. Tamer Özsu, El Kindi Rezig, Kavitha Srinivas, Michael Stonebraker, Satyanarayana R. Valluri, Maria-Esther Vidal, Haixun Wang, Jiannan Wang, Yingjun Wu, Xun Xue, Mohamed Zaït, Kai Zeng
2023	J	`jnl`	METAM: Goal-Oriented Data Discovery. CoRR Sainyam Galhotra, Yue Gong, Raul Castro Fernandez
2023	A*	`conf`	Metam: Goal-Oriented Data Discovery. ICDE Sainyam Galhotra, Yue Gong, Raul Castro Fernandez
2023	A*	`conf`	Ver: View Discovery in the Wild. ICDE Yue Gong, Zhiru Zhu, Sainyam Galhotra, Raul Castro Fernandez
2022	J	`jnl`	Automated Relational Data Explanation using External Semantic Knowledge. Proc. VLDB Endow. Sainyam Galhotra, Udayan Khurana
2022	—	`conf`	Causal Feature Selection for Algorithmic Fairness. SIGMOD Conference Sainyam Galhotra, Karthikeyan Shanmugam, Prasanna Sattigeri, Kush R. Varshney
2022	J	`jnl`	Community Recovery in the Geometric Block Model. CoRR Sainyam Galhotra, Arya Mazumdar, Soumyabrata Pal, Barna Saha
2022	J	`jnl`	Crab: Learning Certifiably Fair Predictive Models in the Presence of Selection Bias. CoRR Jiongli Zhu, Nazanin Sabri, Sainyam Galhotra, Babak Salimi
2022	—	`conf`	DataPrism: Exposing Disconnect between Data and Systems. SIGMOD Conference Sainyam Galhotra, Anna Fariha, Raoni Lourenço, Juliana Freire, Alexandra Meliou, Divesh Srivastava
2022	A*	`conf`	Explainable AI: Foundations, Applications, Opportunities for Data Management Research. ICDE Romila Pradhan, Aditya Lahiri, Sainyam Galhotra, Babak Salimi
2022	—	`conf`	Explainable AI: Foundations, Applications, Opportunities for Data Management Research. SIGMOD Conference Romila Pradhan, Aditya Lahiri, Sainyam Galhotra, Babak Salimi
2022	A*	`conf`	Fair k-Center Clustering in MapReduce and Streaming Settings. WWW Suman K. Bera, Syamantak Das, Sainyam Galhotra, Sagar Sudhir Kale
2022	—	`conf`	Hierarchical Entity Resolution using an Oracle. SIGMOD Conference Sainyam Galhotra, Donatella Firmani, Barna Saha, Divesh Srivastava
2022	—	`conf`	HypeR: Hypothetical Reasoning With What-If and How-To Queries Using a Probabilistic Causal Approach. SIGMOD Conference Sainyam Galhotra, Amir Gilad, Sudeepa Roy, Babak Salimi
2022	J	`jnl`	HypeR: Hypothetical Reasoning With What-If and How-To Queries Using a Probabilistic Causal Approach. CoRR Sainyam Galhotra, Amir Gilad, Sudeepa Roy, Babak Salimi
2022	J	`jnl`	Revisiting Online Data Markets in 2022: A Seller and Buyer Perspective. SIGMOD Rec. Javen Kennedy, Pranav Subramaniam, Sainyam Galhotra, Raul Castro Fernandez
2021	—	`conf`	Adaptive Rule Discovery for Labeling Text Data. SIGMOD Conference Sainyam Galhotra, Behzad Golshan, Wang-Chiew Tan
2021	—	`conf`	BEER: Blocking for Effective Entity Resolution. SIGMOD Conference Sainyam Galhotra, Donatella Firmani, Barna Saha, Divesh Srivastava
2021	J	`jnl`	DataExposer: Exposing Disconnect between Data and Systems. CoRR Sainyam Galhotra, Anna Fariha, Raoni Lourenço, Juliana Freire, Alexandra Meliou, Divesh Srivastava
2021	J	`jnl`	Demonstration of Generating Explanations for Black-Box Algorithms Using Lewis. Proc. VLDB Endow. Paul Y. Wang, Sainyam Galhotra, Romila Pradhan, Babak Salimi
2021	J	`jnl`	Efficient and effective ER with progressive blocking. VLDB J. Sainyam Galhotra, Donatella Firmani, Barna Saha, Divesh Srivastava
2021	—	`conf`	Explaining Black-Box Algorithms Using Probabilistic Contrastive Counterfactuals. SIGMOD Conference Sainyam Galhotra, Romila Pradhan, Babak Salimi
2021	J	`jnl`	Explaining Black-Box Algorithms Using Probabilistic Contrastive Counterfactuals. CoRR Sainyam Galhotra, Romila Pradhan, Babak Salimi
2021	J	`jnl`	How to Design Robust Algorithms using Noisy Comparison Oracle. CoRR Raghavendra Addanki, Sainyam Galhotra, Barna Saha
2021	J	`jnl`	How to Design Robust Algorithms using Noisy Comparison Oracle. Proc. VLDB Endow. Raghavendra Addanki, Sainyam Galhotra, Barna Saha
2021	J	`jnl`	Interventional Fairness with Indirect Knowledge of Unobserved Protected Attributes. Entropy Sainyam Galhotra, Karthikeyan Shanmugam, Prasanna Sattigeri, Kush R. Varshney
2021	C	`conf`	Learning to Generate Fair Clusters from Demonstrations. AIES Sainyam Galhotra, Sandhya Saisubramanian, Shlomo Zilberstein
2021	J	`jnl`	Learning to Generate Fair Clusters from Demonstrations. CoRR Sainyam Galhotra, Sandhya Saisubramanian, Shlomo Zilberstein
2021	J	`jnl`	Niffler: A Reference Architecture and System Implementation for View Discovery over Pathless Table Collections by Example. CoRR Yue Gong, Zhiru Zhu, Sainyam Galhotra, Raul Castro Fernandez
2021	A	`conf`	Semantic Concept Annotation for Tabular Data. CIKM Udayan Khurana, Sainyam Galhotra
2020	J	`jnl`	Adaptive Rule Discovery for Labeling Text Data. CoRR Sainyam Galhotra, Behzad Golshan, Wang-Chiew Tan
2020	C	`conf`	Balancing the Tradeoff Between Clustering Value and Interpretability. AIES Sandhya Saisubramanian, Sainyam Galhotra, Shlomo Zilberstein
2020	J	`jnl`	Efficient and Effective ER with Progressive Blocking. CoRR Sainyam Galhotra, Donatella Firmani, Barna Saha, Divesh Srivastava
2020	J	`jnl`	Fair Correlation Clustering. CoRR Saba Ahmadi, Sainyam Galhotra, Barna Saha, Roy Schwartz
2020	J	`jnl`	Fair Data Integration. CoRR Sainyam Galhotra, Karthikeyan Shanmugam, Prasanna Sattigeri, Kush R. Varshney
2020	—	`conf`	Reliable Clustering with Applications to Data Integration. PhD@VLDB Sainyam Galhotra
2020	J	`jnl`	Semantic Annotation for Tabular Data. CoRR Udayan Khurana, Sainyam Galhotra
2020	A	`conf`	Semantic Search over Structured Data. CIKM Sainyam Galhotra, Udayan Khurana
2019	—	`conf`	Automated Feature Enhancement for Predictive Modeling using External Knowledge. ICDM Workshops Sainyam Galhotra, Udayan Khurana, Oktie Hassanzadeh, Kavitha Srinivas, Horst Samulowitz, Miao Qi
2019	J	`jnl`	Balancing the Tradeoff Between Clustering Value and Interpretability. CoRR Sandhya Saisubramanian, Sainyam Galhotra, Shlomo Zilberstein
2019	—	`conf`	Connectivity of Random Annulus Graphs and the Geometric Block Model. APPROX-RANDOM Sainyam Galhotra, Arya Mazumdar, Soumyabrata Pal, Barna Saha
2019	—	`conf`	Crowd-Sourced Entity Resolution with Control Queries. SEBD Sainyam Galhotra, Donatella Firmani, Barna Saha, Divesh Srivastava
2019	B	`conf`	Influence Maximization Revisited: The State of the Art and the Gaps that Remain. EDBT Akhil Arora, Sainyam Galhotra, Sayan Ranu
2019	J	`jnl`	Lexicographically Ordered Multi-Objective Clustering. CoRR Sainyam Galhotra, Sandhya Saisubramanian, Shlomo Zilberstein
2019	J	`jnl`	Min-Max Correlation Clustering via MultiCut. CoRR Saba Ahmadi, Sainyam Galhotra, Samir Khuller, Barna Saha, Roy Schwartz
2018	J	`jnl`	Connectivity in Random Annulus Graphs and the Geometric Block Model. CoRR Sainyam Galhotra, Arya Mazumdar, Soumyabrata Pal, Barna Saha
2018	J	`jnl`	Robust Entity Resolution Using a CrowdOracle. IEEE Data Eng. Bull. Donatella Firmani, Sainyam Galhotra, Barna Saha, Divesh Srivastava
2018	—	`conf`	Robust Entity Resolution using Random Graphs. SIGMOD Conference Sainyam Galhotra, Donatella Firmani, Barna Saha, Divesh Srivastava
2018	—	`conf`	The Geometric Block Model and Applications. Allerton Sainyam Galhotra, Soumyabrata Pal, Arya Mazumdar, Barna Saha
2018	A*	`conf`	The Geometric Block Model. AAAI Sainyam Galhotra, Arya Mazumdar, Soumyabrata Pal, Barna Saha
2017	—	`conf`	Debunking the Myths of Influence Maximization: An In-Depth Benchmarking Study. SIGMOD Conference Akhil Arora, Sainyam Galhotra, Sayan Ranu
2017	J	`jnl`	Fairness Testing: Testing Software for Discrimination. CoRR Sainyam Galhotra, Yuriy Brun, Alexandra Meliou
2017	—	`conf`	Fairness testing: testing software for discrimination. ESEC/SIGSOFT FSE Sainyam Galhotra, Yuriy Brun, Alexandra Meliou
2017	J	`jnl`	The Geometric Block Model. CoRR Sainyam Galhotra, Arya Mazumdar, Soumyabrata Pal, Barna Saha
2016	—	`conf`	Holistic Influence Maximization: Combining Scalability and Efficiency with Opinion-Aware Models. SIGMOD Conference Sainyam Galhotra, Akhil Arora, Shourya Roy
2016	J	`jnl`	Holistic Influence Maximization: Combining Scalability and Efficiency with Opinion-Aware Models. CoRR Sainyam Galhotra, Akhil Arora, Shourya Roy
2016	A*	`conf`	QA AAAI Shourya Roy, Ragunathan Mariappan, Sandipan Dandapat, Saurabh Srivastava, Sainyam Galhotra, Balaji Peddamuthu
2015	—	`conf`	ASIM: A Scalable Algorithm for Influence Maximization under the Independent Cascade Model. WWW (Companion Volume) Sainyam Galhotra, Akhil Arora, Srinivas Virinchi, Shourya Roy
2015	J	`jnl`	Optimal Radius for Connectivity in Duty-Cycled Wireless Sensor Networks. ACM Trans. Sens. Networks Amitabha Bagchi, Sainyam Galhotra, Tarun Mangla, Cristina M. Pinotti
2015	—	`conf`	STAR: Real-time Spatio-Temporal Analysis and Prediction of Traffic Insights using Social Media. CODS Companion Volume Deepali Semwal, Sonal Patil, Sainyam Galhotra, Akhil Arora, Narayanan Unny
2015	J	`jnl`	Tracking the Conductance of Rapidly Evolving Topic-Subgraphs. Proc. VLDB Endow. Sainyam Galhotra, Amitabha Bagchi, Srikanta Bedathur, Maya Ramanath, Vidit Jain
2014	A	`conf`	Min-d-Occur: Ensuring Future Occurrences in Streaming Sets. UAI Vidit Jain, Sainyam Galhotra
2014	J	`jnl`	Optimal Radius for Connectivity in Duty-Cycled Wireless Sensor Networks. CoRR Amitabha Bagchi, Maria Cristina Pinotti, Sainyam Galhotra, Tarun Mangla
2013	A	`conf`	Optimal radius for connectivity in duty-cycled wireless sensor networks. MSWiM Amitabha Bagchi, Cristina M. Pinotti, Sainyam Galhotra, Tarun Mangla