Kapil Vaidya

Most-cited papers

Why TPC Is Not Enough: An Analysis of the Amazon Redshift Fleet
Alexander van Renen, Dominik Horn, Pascal Pfeil, Kapil Vaidya +6 more
2024Proceedings of the VLDB Endowment92 citations
Semantic Scholar
Data-centric dynamic partial order reduction
Marek Chalupa, Krishnendu Chatterjee, Andreas Pavlogiannis, Nishant Sinha +1 more
2016Proc. ACM Program. Lang.71 citations Open access
Semantic Scholar
The Case for a Learned Sorting Algorithm
Ani Kristo, Kapil Vaidya, U. Çetintemel, Sanchit Misra +1 more
2020SIGMOD Conference68 citations Open access
Semantic Scholar
SNARF: A Learning-Enhanced Range Filter
Kapil Vaidya, Tim Kraska, Subarna Chatterjee, Eric R. Knorr +2 more
2022Proceedings of the VLDB Endowment47 citations
Semantic Scholar
Partitioned Learned Bloom Filter
Kapil Vaidya, Eric R. Knorr, M. Mitzenmacher, Tim Kraska
2020International Conference on Learning Representations39 citations
Semantic Scholar
Bounding the Last Mile: Efficient Learned String Indexing
B. Spector, Andreas Kipf, Kapil Vaidya, Chi Wang +2 more
2021arXiv.org33 citations
Semantic Scholar
Can Learned Models Replace Hash Functions?
Ibrahim Sabek, Kapil Vaidya, D. Horn, Andreas Kipf +2 more
2022Proceedings of the VLDB Endowment29 citations
Semantic Scholar
Panda: Performance Debugging for Databases using LLM Agents
Vikramank Singh, Kapil Vaidya, Vinayshekhar Bannihatti Kumar, Sopan Khosla +3 more
2024Conference on Innovative Data Systems Research25 citations
Semantic Scholar
Leveraging Query Logs and Machine Learning for Parametric Query Optimization
Kapil Vaidya, Anshuman Dutt, Vivek R. Narasayya, S. Chaudhuri
2021Proceedings of the VLDB Endowment25 citations
Semantic Scholar
SageDB: An Instance-Optimized Data Analytics System
Jia-Lin Ding, Ryan Marcus, Andreas Kipf, Vikram Nathan +4 more
2022Proceedings of the VLDB Endowment24 citations
Semantic Scholar
SQLens: An End-to-End Framework for Error Detection and Correction in Text-to-SQL
Yue Gong, Chuan Lei, Xiao Qin, Kapil Vaidya +2 more
2025Neural Information Processing Systems21 citations
Semantic Scholar
When Are Learned Models Better Than Hash Functions?
Ibrahim Sabek, Kapil Vaidya, D. Horn, Andreas Kipf +1 more
2021arXiv.org13 citations
Semantic Scholar
Ultra-Fast Bit-Level Frequency-Hopping Transmitter for Securing Low-Power Wireless Devices
R. Yazicigil, P. Nadeau, Daniel D. Richman, C. Juvekar +2 more
2018Radio Frequency Integrated Circuits Symposium12 citations
Semantic Scholar
Defeating duplicates: A re-design of the LearnedSort algorithm
Ani Kristo, Kapil Vaidya, Tim Kraska
2021arXiv.org11 citations
Semantic Scholar
TailorSQL: An NL2SQL System Tailored to Your Query Workload
Kapil Vaidya, Jia-Lin Ding, Sebastian Kosak, D. Kernert +6 more
2025arXiv.org8 citations
Semantic Scholar
ODIN: A NL2SQL Recommender to Handle Schema Ambiguity
Kapil Vaidya, Abishek Sankararaman, Jia-Lin Ding, Chuan Lei +3 more
2025arXiv.org6 citations
Semantic Scholar
Utilizing Past User Feedback for More Accurate Text-to-SQL
Matthias Urban, Jia-Lin Ding, D. Kernert, Kapil Vaidya +1 more
2025HILDA@SIGMOD6 citations Open access
Semantic Scholar
Vista: Machine Learning based Database Performance Troubleshooting Framework in Amazon RDS
Vikramank Singh, Zhao Song, B. Narayanaswamy, Kapil Vaidya +1 more
2024ACM Symposium on Cloud Computing3 citations Open access
Semantic Scholar
SageDB
Jia-Lin Ding, Ryan Marcus, Andreas Kipf, Vikram Nathan +4 more
2022Proceedings of the VLDB Endowment3 citations
Semantic Scholar
TailorSQL: A NL2SQL System Tailored for Your Query Workload
Kapil Vaidya, Jia-Lin Ding, Sebastian Kosak, D. Kernert +6 more
2025VLDB Workshops0 citations
Semantic Scholar
Instance-Optimized Data Structures for Membership Queries
Kapil Vaidya
20230 citations
Semantic Scholar