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ORCIDSainyam Galhotra
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- affiliation: Cornell University, Ithaca, NY, USA
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2020 – today
- 2024
[j15]Yash Kurkure
, Miles Shamo, Joseph Wiseman, Sainyam Galhotra, Stavros Sintos:
Faster Algorithms for Fair Max-Min Diversification in Rd. Proc. ACM Manag. Data 2(3): 137 (2024)- [j14]Yue Gong, Sainyam Galhotra, Raul Castro Fernandez:
Nexus: Correlation Discovery over Collections of Spatio-Temporal Tabular Data. Proc. ACM Manag. Data 2(3): 154 (2024) - [j13]Sainyam Galhotra, Rahul Raychaudhury, Stavros Sintos:
k-Clustering with Comparison and Distance Oracles. Proc. ACM Manag. Data 2(5): 212:1-212:26 (2024) - [j12]Lennart Behme, Sainyam Galhotra, Kaustubh Beedkar, Volker Markl:
Fainder: A Fast and Accurate Index for Distribution-Aware Dataset Search. Proc. VLDB Endow. 17(11): 3269-3282 (2024) - [c37]Donatella Firmani, Sainyam Galhotra, Barna Saha, Divesh Srivastava:
Building Taxonomies with Triplet Queries. SEBD 2024: 14-24 - [c36]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: 428-431 - [c35]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: 661-662 - [c34]Vasilis Efthymiou, Sainyam Galhotra, Oktie Hassanzadeh, Chuan Lei, Kavitha Srinivas:
2nd International Workshop on Tabular Data Analysis (TaDA). VLDB Workshops 2024 - [i26]Yash Kurkure, Miles Shamo, Joseph Wiseman, Sainyam Galhotra, Stavros Sintos:
Faster Algorithms for Fair Max-Min Diversification in Rd. CoRR abs/2404.04713 (2024) - [i25]Sainyam Galhotra, Joseph Y. Halpern:
Intervention and Conditioning in Causal Bayesian Networks. CoRR abs/2405.14728 (2024) - 2023
- [j11]Sainyam Galhotra, Arya Mazumdar, Soumyabrata Pal, Barna Saha:
Community Recovery in the Geometric Block Model. J. Mach. Learn. Res. 24: 338:1-338:53 (2023) - [j10]Jiongli Zhu, Sainyam Galhotra, Nazanin Sabri, Babak Salimi:
Consistent Range Approximation for Fair Predictive Modeling. Proc. VLDB Endow. 16(11): 2925-2938 (2023) - [c33]Yue Gong, Zhiru Zhu, Sainyam Galhotra, Raul Castro Fernandez:
Ver: View Discovery in the Wild. ICDE 2023: 503-516 - [c32]Sainyam Galhotra, Yue Gong, Raul Castro Fernandez:
Metam: Goal-Oriented Data Discovery. ICDE 2023: 2780-2793 - [c31]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: 3663-3666 - [e1]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:
Joint Proceedings of Workshops at the 49th International Conference on Very Large Data Bases (VLDB 2023), Vancouver, Canada, August 28 - September 1, 2023. CEUR Workshop Proceedings 3462, CEUR-WS.org 2023 [contents] - [i24]Udayan Khurana, Kavitha Srinivas, Sainyam Galhotra, Horst Samulowitz:
A Vision for Semantically Enriched Data Science. CoRR abs/2303.01378 (2023) - [i23]Sainyam Galhotra, Yue Gong, Raul Castro Fernandez:
METAM: Goal-Oriented Data Discovery. CoRR abs/2304.09068 (2023) - [i22]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 abs/2310.17843 (2023) - 2022
- [j9]Sainyam Galhotra, Udayan Khurana:
Automated Relational Data Explanation using External Semantic Knowledge. Proc. VLDB Endow. 15(12): 3562-3565 (2022) - [j8]Javen Kennedy, Pranav Subramaniam, Sainyam Galhotra, Raul Castro Fernandez:
Revisiting Online Data Markets in 2022: A Seller and Buyer Perspective. SIGMOD Rec. 51(3): 30-37 (2022) - [c30]Romila Pradhan, Aditya Lahiri, Sainyam Galhotra, Babak Salimi:
Explainable AI: Foundations, Applications, Opportunities for Data Management Research. ICDE 2022: 3209-3212 - [c29]Sainyam Galhotra, Anna Fariha, Raoni Lourenço, Juliana Freire, Alexandra Meliou, Divesh Srivastava:
DataPrism: Exposing Disconnect between Data and Systems. SIGMOD Conference 2022: 217-231 - [c28]Sainyam Galhotra, Karthikeyan Shanmugam, Prasanna Sattigeri, Kush R. Varshney:
Causal Feature Selection for Algorithmic Fairness. SIGMOD Conference 2022: 276-285 - [c27]Sainyam Galhotra, Donatella Firmani, Barna Saha, Divesh Srivastava:
Hierarchical Entity Resolution using an Oracle. SIGMOD Conference 2022: 414-428 - [c26]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: 1598-1611 - [c25]Romila Pradhan, Aditya Lahiri, Sainyam Galhotra, Babak Salimi:
Explainable AI: Foundations, Applications, Opportunities for Data Management Research. SIGMOD Conference 2022: 2452-2457 - [c24]Suman K. Bera, Syamantak Das, Sainyam Galhotra, Sagar Sudhir Kale:
Fair k-Center Clustering in MapReduce and Streaming Settings. WWW 2022: 1414-1422 - [i21]Sainyam Galhotra, Amir Gilad, Sudeepa Roy, Babak Salimi:
HypeR: Hypothetical Reasoning With What-If and How-To Queries Using a Probabilistic Causal Approach. CoRR abs/2203.14692 (2022) - [i20]Sainyam Galhotra, Arya Mazumdar, Soumyabrata Pal, Barna Saha:
Community Recovery in the Geometric Block Model. CoRR abs/2206.11303 (2022) - [i19]Jiongli Zhu, Nazanin Sabri, Sainyam Galhotra, Babak Salimi:
Crab: Learning Certifiably Fair Predictive Models in the Presence of Selection Bias. CoRR abs/2212.10839 (2022) - 2021
- [j7]Sainyam Galhotra, Karthikeyan Shanmugam, Prasanna Sattigeri, Kush R. Varshney:
Interventional Fairness with Indirect Knowledge of Unobserved Protected Attributes. Entropy 23(12): 1571 (2021) - [j6]Raghavendra Addanki, Sainyam Galhotra, Barna Saha:
How to Design Robust Algorithms using Noisy Comparison Oracle. Proc. VLDB Endow. 14(10): 1703-1716 (2021) - [j5]Paul Y. Wang, Sainyam Galhotra, Romila Pradhan, Babak Salimi:
Demonstration of Generating Explanations for Black-Box Algorithms Using Lewis. Proc. VLDB Endow. 14(12): 2787-2790 (2021) - [j4]Sainyam Galhotra, Donatella Firmani, Barna Saha, Divesh Srivastava:
Efficient and effective ER with progressive blocking. VLDB J. 30(4): 537-557 (2021) - [c23]Sainyam Galhotra, Sandhya Saisubramanian, Shlomo Zilberstein:
Learning to Generate Fair Clusters from Demonstrations. AIES 2021: 491-501 - [c22]Udayan Khurana, Sainyam Galhotra:
Semantic Concept Annotation for Tabular Data. CIKM 2021: 844-853 - [c21]Sainyam Galhotra, Romila Pradhan, Babak Salimi:
Explaining Black-Box Algorithms Using Probabilistic Contrastive Counterfactuals. SIGMOD Conference 2021: 577-590 - [c20]Sainyam Galhotra, Behzad Golshan, Wang-Chiew Tan:
Adaptive Rule Discovery for Labeling Text Data. SIGMOD Conference 2021: 2217-2225 - [c19]Sainyam Galhotra, Donatella Firmani, Barna Saha, Divesh Srivastava:
BEER: Blocking for Effective Entity Resolution. SIGMOD Conference 2021: 2711-2715 - [i18]Sainyam Galhotra, Sandhya Saisubramanian, Shlomo Zilberstein:
Learning to Generate Fair Clusters from Demonstrations. CoRR abs/2102.03977 (2021) - [i17]Sainyam Galhotra, Romila Pradhan, Babak Salimi:
Explaining Black-Box Algorithms Using Probabilistic Contrastive Counterfactuals. CoRR abs/2103.11972 (2021) - [i16]Raghavendra Addanki, Sainyam Galhotra, Barna Saha:
How to Design Robust Algorithms using Noisy Comparison Oracle. CoRR abs/2105.05782 (2021) - [i15]Sainyam Galhotra, Anna Fariha, Raoni Lourenço, Juliana Freire, Alexandra Meliou, Divesh Srivastava:
DataExposer: Exposing Disconnect between Data and Systems. CoRR abs/2105.06058 (2021) - [i14]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 abs/2106.01543 (2021) - 2020
- [c18]Sandhya Saisubramanian, Sainyam Galhotra, Shlomo Zilberstein:
Balancing the Tradeoff Between Clustering Value and Interpretability. AIES 2020: 351-357 - [c17]Sainyam Galhotra, Udayan Khurana:
Semantic Search over Structured Data. CIKM 2020: 3381-3384 - [c16]Sainyam Galhotra:
Reliable Clustering with Applications to Data Integration. PhD@VLDB 2020 - [i13]Saba Ahmadi, Sainyam Galhotra, Barna Saha, Roy Schwartz:
Fair Correlation Clustering. CoRR abs/2002.03508 (2020) - [i12]Sainyam Galhotra, Behzad Golshan, Wang-Chiew Tan:
Adaptive Rule Discovery for Labeling Text Data. CoRR abs/2005.06133 (2020) - [i11]Sainyam Galhotra, Donatella Firmani, Barna Saha, Divesh Srivastava:
Efficient and Effective ER with Progressive Blocking. CoRR abs/2005.14326 (2020) - [i10]Sainyam Galhotra, Karthikeyan Shanmugam, Prasanna Sattigeri, Kush R. Varshney:
Fair Data Integration. CoRR abs/2006.06053 (2020) - [i9]Udayan Khurana, Sainyam Galhotra:
Semantic Annotation for Tabular Data. CoRR abs/2012.08594 (2020)
2010 – 2019
- 2019
- [c15]Sainyam Galhotra, Arya Mazumdar, Soumyabrata Pal, Barna Saha:
Connectivity of Random Annulus Graphs and the Geometric Block Model. APPROX-RANDOM 2019: 53:1-53:23 - [c14]Akhil Arora, Sainyam Galhotra, Sayan Ranu:
Influence Maximization Revisited: The State of the Art and the Gaps that Remain. EDBT 2019: 440-443 - [c13]Sainyam Galhotra, Udayan Khurana, Oktie Hassanzadeh, Kavitha Srinivas, Horst Samulowitz, Miao Qi:
Automated Feature Enhancement for Predictive Modeling using External Knowledge. ICDM Workshops 2019: 1094-1097 - [c12]Sainyam Galhotra, Donatella Firmani, Barna Saha, Divesh Srivastava:
Crowd-Sourced Entity Resolution with Control Queries. SEBD 2019 - [i8]Sainyam Galhotra, Sandhya Saisubramanian, Shlomo Zilberstein:
Lexicographically Ordered Multi-Objective Clustering. CoRR abs/1903.00750 (2019) - [i7]Saba Ahmadi, Sainyam Galhotra, Samir Khuller, Barna Saha, Roy Schwartz:
Min-Max Correlation Clustering via MultiCut. CoRR abs/1907.00117 (2019) - [i6]Sandhya Saisubramanian, Sainyam Galhotra, Shlomo Zilberstein:
Balancing the Tradeoff Between Clustering Value and Interpretability. CoRR abs/1912.07820 (2019) - 2018
- [j3]Donatella Firmani, Sainyam Galhotra, Barna Saha, Divesh Srivastava:
Robust Entity Resolution Using a CrowdOracle. IEEE Data Eng. Bull. 41(2): 91-103 (2018) - [c11]Sainyam Galhotra, Arya Mazumdar, Soumyabrata Pal, Barna Saha:
The Geometric Block Model. AAAI 2018: 2215-2222 - [c10]Sainyam Galhotra, Soumyabrata Pal, Arya Mazumdar, Barna Saha:
The Geometric Block Model and Applications. Allerton 2018: 1147-1150 - [c9]Sainyam Galhotra, Donatella Firmani, Barna Saha, Divesh Srivastava:
Robust Entity Resolution using Random Graphs. SIGMOD Conference 2018: 3-18 - [i5]Sainyam Galhotra, Arya Mazumdar, Soumyabrata Pal, Barna Saha:
Connectivity in Random Annulus Graphs and the Geometric Block Model. CoRR abs/1804.05013 (2018) - 2017
- [c8]Akhil Arora, Sainyam Galhotra, Sayan Ranu:
Debunking the Myths of Influence Maximization: An In-Depth Benchmarking Study. SIGMOD Conference 2017: 651-666 - [c7]Sainyam Galhotra, Yuriy Brun, Alexandra Meliou:
Fairness testing: testing software for discrimination. ESEC/SIGSOFT FSE 2017: 498-510 - [i4]Sainyam Galhotra, Yuriy Brun, Alexandra Meliou:
Fairness Testing: Testing Software for Discrimination. CoRR abs/1709.03221 (2017) - [i3]Sainyam Galhotra, Arya Mazumdar, Soumyabrata Pal, Barna Saha:
The Geometric Block Model. CoRR abs/1709.05510 (2017) - 2016
- [c6]Shourya Roy, Ragunathan Mariappan, Sandipan Dandapat, Saurabh Srivastava, Sainyam Galhotra, Balaji Peddamuthu:
QART: A System for Real-Time Holistic Quality Assurance for Contact Center Dialogues. AAAI 2016: 3768-3775 - [c5]Sainyam Galhotra, Akhil Arora, Shourya Roy:
Holistic Influence Maximization: Combining Scalability and Efficiency with Opinion-Aware Models. SIGMOD Conference 2016: 743-758 - [i2]Sainyam Galhotra, Akhil Arora, Shourya Roy:
Holistic Influence Maximization: Combining Scalability and Efficiency with Opinion-Aware Models. CoRR abs/1602.03110 (2016) - 2015
- [j2]Sainyam Galhotra, Amitabha Bagchi, Srikanta Bedathur, Maya Ramanath, Vidit Jain:
Tracking the Conductance of Rapidly Evolving Topic-Subgraphs. Proc. VLDB Endow. 8(13): 2170-2181 (2015) - [j1]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): 36:1-36:37 (2015) - [c4]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: 7:1-7:4 - [c3]Sainyam Galhotra, Akhil Arora, Srinivas Virinchi, Shourya Roy:
ASIM: A Scalable Algorithm for Influence Maximization under the Independent Cascade Model. WWW (Companion Volume) 2015: 35-36 - 2014
- [c2]Vidit Jain, Sainyam Galhotra:
Min-d-Occur: Ensuring Future Occurrences in Streaming Sets. UAI 2014: 370-379 - [i1]Amitabha Bagchi, Maria Cristina Pinotti, Sainyam Galhotra, Tarun Mangla:
Optimal Radius for Connectivity in Duty-Cycled Wireless Sensor Networks. CoRR abs/1408.5069 (2014) - 2013
- [c1]Amitabha Bagchi, Cristina M. Pinotti, Sainyam Galhotra, Tarun Mangla:
Optimal radius for connectivity in duty-cycled wireless sensor networks. MSWiM 2013: 125-128
Coauthor Index
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