Kapil Vaidya

According to our database, Kapil Vaidya authored at least 16 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Why TPC Is Not Enough: An Analysis of the Amazon Redshift Fleet.

Alexander van Renen, Dominik Horn, Pascal Pfeil, Kapil Vaidya, Wenjian Dong, Murali Narayanaswamy, Zhengchun Liu, Gaurav Saxena, Andreas Kipf, Tim Kraska

Proc. VLDB Endow., July, 2024

Vista: Machine Learning based Database Performance Troubleshooting Framework in Amazon RDS.

Vikramank Y. Singh, Zhao Song, Balakrishnan (Murali) Narayanaswamy, Kapil Eknath Vaidya, Tim Kraska

Proceedings of the 2024 ACM Symposium on Cloud Computing, 2024

Panda: Performance Debugging for Databases using LLM Agents.

Vikramank Y. Singh, Kapil Vaidya, Vinayshekhar Bannihatti Kumar, Sopan Khosla, Balakrishnan Narayanaswamy, Rashmi Gangadharaiah, Tim Kraska

Proceedings of the 14th Conference on Innovative Data Systems Research, 2024

2023

Instance-Optimized Data Structures for Membership Queries

Kapil Vaidya

PhD thesis, 2023

2022

SNARF: A Learning-Enhanced Range Filter.

Kapil Vaidya, Tim Kraska, Subarna Chatterjee, Eric R. Knorr, Michael Mitzenmacher, Stratos Idreos

Proc. VLDB Endow., 2022

Can Learned Models Replace Hash Functions?

Ibrahim Sabek, Kapil Vaidya, Dominik Horn, Andreas Kipf, Michael Mitzenmacher, Tim Kraska

Proc. VLDB Endow., 2022

SageDB: An Instance-Optimized Data Analytics System.

Jialin Ding, Ryan Marcus, Andreas Kipf, Vikram Nathan, Aniruddha Nrusimha, Kapil Vaidya, Alexander van Renen, Tim Kraska

Proc. VLDB Endow., 2022

2021

Leveraging Query Logs and Machine Learning for Parametric Query Optimization.

Kapil Vaidya, Anshuman Dutt, Vivek R. Narasayya, Surajit Chaudhuri

Proc. VLDB Endow., 2021

Bounding the Last Mile: Efficient Learned String Indexing.

Benjamin Spector, Andreas Kipf, Kapil Vaidya, Chi Wang, Umar Farooq Minhas, Tim Kraska

CoRR, 2021

Defeating duplicates: A re-design of the LearnedSort algorithm.

Ani Kristo, Kapil Vaidya, Tim Kraska

CoRR, 2021

When Are Learned Models Better Than Hash Functions?

Ibrahim Sabek, Kapil Vaidya, Dominik Horn, Andreas Kipf, Tim Kraska

CoRR, 2021

Partitioned Learned Bloom Filters.

Kapil Vaidya, Eric Knorr, Michael Mitzenmacher, Tim Kraska

Proceedings of the 9th International Conference on Learning Representations, 2021

2020

Partitioned Learned Bloom Filter.

Kapil Vaidya, Eric Knorr, Tim Kraska, Michael Mitzenmacher

CoRR, 2020

The Case for a Learned Sorting Algorithm.

Ani Kristo, Kapil Vaidya, Ugur Çetintemel, Sanchit Misra, Tim Kraska

Proceedings of the 2020 International Conference on Management of Data, 2020

2018

Data-centric dynamic partial order reduction.

Marek Chalupa, Krishnendu Chatterjee, Andreas Pavlogiannis, Nishant Sinha, Kapil Vaidya

Proc. ACM Program. Lang., 2018

2016

Data-centric Dynamic Partial Order Reduction.

Krishnendu Chatterjee, Andreas Pavlogiannis, Nishant Sinha, Kapil Vaidya

CoRR, 2016