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Kapil Vaidya
Kapil Vaidya
Graduate Student, MIT
Verified email at mit.edu - Homepage
Title
Cited by
Cited by
Year
Data-centric dynamic partial order reduction
M Chalupa, K Chatterjee, A Pavlogiannis, N Sinha, K Vaidya
Proceedings of the ACM on Programming Languages 2 (POPL), 1-30, 2017
542017
The case for a learned sorting algorithm
A Kristo, K Vaidya, U «etintemel, S Misra, T Kraska
Proceedings of the 2020 ACM SIGMOD International Conference on Management of†…, 2020
372020
Partitioned learned bloom filter
K Vaidya, E Knorr, T Kraska, M Mitzenmacher
arXiv preprint arXiv:2006.03176, 2020
252020
Ultra-fast bit-level frequency-hopping transmitter for securing low-power wireless devices
RT Yazicigil, P Nadeau, D Richman, C Juvekar, K Vaidya, ...
2018 IEEE Radio Frequency Integrated Circuits Symposium (RFIC), 176-179, 2018
182018
Bounding the last mile: Efficient learned string indexing
B Spector, A Kipf, K Vaidya, C Wang, UF Minhas, T Kraska
arXiv preprint arXiv:2111.14905, 2021
82021
Partitioned learned bloom filter. CoRR abs/2006.03176 (2020)
K Vaidya, E Knorr, T Kraska, M Mitzenmacher
arXiv preprint arXiv:2006.03176, 2020
52020
When Are Learned Models Better Than Hash Functions?
I Sabek, K Vaidya, D Horn, A Kipf, T Kraska
arXiv preprint arXiv:2107.01464, 2021
42021
Data-centric dynamic partial order reduction
K Chatterjee, A Pavlogiannis, N Sinha, K Vaidya
CoRR, abs/1610.01188, 2016
42016
Defeating duplicates: A re-design of the LearnedSort algorithm
A Kristo, K Vaidya, T Kraska
arXiv preprint arXiv:2107.03290, 2021
32021
Leveraging query logs and machine learning for parametric query optimization
K Vaidya, A Dutt, V Narasayya, S Chaudhuri
Proceedings of the VLDB Endowment 15 (3), 401-413, 2021
22021
Using query logs to optimize execution of parametric queries
A Dutt, KE Vaidya, VR Narasayya, S Chaudhuri
US Patent App. 17/361,016, 2022
2022
Can Learned Models Replace Hash Functions?
I Sabek, K Vaidya, D Horn, A Kipf, M Mitzenmacher, T Kraska
Proceedings of the VLDB Endowment 16 (3), 532-545, 2022
2022
SageDB: An Instance-Optimized Data Analytics System
J Ding, R Marcus, A Kipf, V Nathan, A Nrusimha, K Vaidya, A van Renen, ...
Proceedings of the VLDB Endowment 15 (13), 4062-4078, 2022
2022
SNARF: a learning-enhanced range filter
K Vaidya, S Chatterjee, E Knorr, M Mitzenmacher, S Idreos, T Kraska
Proceedings of the VLDB Endowment 15 (8), 1632-1644, 2022
2022
The case for a Learned sorting algorithm
KE Vaidya
Massachusetts Institute of Technology, 2021
2021
Data-centric Dynamic Partial Order Reduction
A Pavlogiannis, M Chalupa, K Chatterjee, N Sinha, K Vaidya
ACM, 2018
2018
When Are Learned Models Better Than Hash Functions?(Extended Abstracts)
I Sabek, K Vaidya, D Horn, A Kipf, T Kraska
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Articles 1–17