Kapil Vaidya

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 13

Top Topics

Locality Sensitive

Top Venues

Proc. VLDB Endow.

Proc. ACM Program. Lang.

Publications

Vikramank Y. Singh, Kapil Vaidya, Vinayshekhar Bannihatti Kumar, Sopan Khosla, Balakrishnan Narayanaswamy, Rashmi Gangadharaiah, Tim Kraska
Panda: Performance Debugging for Databases using LLM Agents. CIDR (2024)
Ibrahim Sabek, Kapil Vaidya, Dominik Horn, Andreas Kipf, Michael Mitzenmacher, Tim Kraska
Can Learned Models Replace Hash Functions? Proc. VLDB Endow. 16 (3) (2022)
Kapil Vaidya, Tim Kraska, Subarna Chatterjee, Eric R. Knorr, Michael Mitzenmacher, Stratos Idreos
SNARF: A Learning-Enhanced Range Filter. Proc. VLDB Endow. 15 (8) (2022)
Jialin Ding, Ryan C. Marcus, Andreas Kipf, Vikram Nathan, Aniruddha Nrusimha, Kapil Vaidya, Alexander van Renen, Tim Kraska
SageDB: An Instance-Optimized Data Analytics System. Proc. VLDB Endow. 15 (13) (2022)
Ani Kristo, Kapil Vaidya, Tim Kraska
Defeating duplicates: A re-design of the LearnedSort algorithm. CoRR (2021)
Kapil Vaidya, Anshuman Dutt, Vivek R. Narasayya, Surajit Chaudhuri
Leveraging Query Logs and Machine Learning for Parametric Query Optimization. Proc. VLDB Endow. 15 (3) (2021)
Benjamin Spector, Andreas Kipf, Kapil Vaidya, Chi Wang, Umar Farooq Minhas, Tim Kraska
Bounding the Last Mile: Efficient Learned String Indexing. CoRR (2021)
Kapil Vaidya, Eric Knorr, Michael Mitzenmacher, Tim Kraska
Partitioned Learned Bloom Filters. ICLR (2021)
Ibrahim Sabek, Kapil Vaidya, Dominik Horn, Andreas Kipf, Tim Kraska
When Are Learned Models Better Than Hash Functions? CoRR (2021)
Kapil Vaidya, Eric Knorr, Tim Kraska, Michael Mitzenmacher
Partitioned Learned Bloom Filter. CoRR (2020)
Ani Kristo, Kapil Vaidya, Ugur Çetintemel, Sanchit Misra, Tim Kraska
The Case for a Learned Sorting Algorithm. SIGMOD Conference (2020)
Marek Chalupa, Krishnendu Chatterjee, Andreas Pavlogiannis, Nishant Sinha, Kapil Vaidya
Data-centric dynamic partial order reduction. Proc. ACM Program. Lang. 2 (POPL) (2018)
Krishnendu Chatterjee, Andreas Pavlogiannis, Nishant Sinha, Kapil Vaidya
Data-centric Dynamic Partial Order Reduction. CoRR (2016)