팔로우
Parimarjan Negi
Parimarjan Negi
PhD Student, MIT
mit.edu의 이메일 확인됨 - 홈페이지
제목
인용
인용
연도
Neo: A learned query optimizer
R Marcus, P Negi, H Mao, C Zhang, M Alizadeh, T Kraska, ...
arXiv preprint arXiv:1904.03711, 2019
2712019
High throughput cryptocurrency routing in payment channel networks
V Sivaraman, SB Venkatakrishnan, K Ruan, P Negi, L Yang, R Mittal, ...
USENIX Symposium on Networked Systems Design and Implementation (NSDI), 2020
1162020
Bao: Making learned query optimization practical
R Marcus, P Negi, H Mao, N Tatbul, M Alizadeh, T Kraska
ACM SIGMOD Record 51 (1), 6-13, 2022
782022
Evaluating end-to-end optimization for data analytics applications in weld
S Palkar, J Thomas, D Narayanan, P Thaker, R Palamuttam, P Negi, ...
Proceedings of the VLDB Endowment 11 (9), 1002-1015, 2018
732018
Park: An open platform for learning-augmented computer systems
H Mao, P Negi, A Narayan, H Wang, J Yang, H Wang, R Marcus, ...
Advances in Neural Information Processing Systems 32, 2019
692019
Bao: Learning to steer query optimizers
R Marcus, P Negi, H Mao, N Tatbul, M Alizadeh, T Kraska
arXiv preprint arXiv:2004.03814, 2020
342020
Cost-guided cardinality estimation: Focus where it matters
P Negi, R Marcus, H Mao, N Tatbul, T Kraska, M Alizadeh
2020 IEEE 36th International Conference on Data Engineering Workshops (ICDEW …, 2020
282020
Flow-loss: Learning cardinality estimates that matter
P Negi, R Marcus, A Kipf, H Mao, N Tatbul, T Kraska, M Alizadeh
arXiv preprint arXiv:2101.04964, 2021
262021
K-means++ vs. Behavioral Biometrics: One Loop to Rule Them All.
P Negi, P Sharma, V Jain, B Bahmani
NDSS, 2018
222018
Steering query optimizers: A practical take on big data workloads
P Negi, M Interlandi, R Marcus, M Alizadeh, T Kraska, M Friedman, ...
Proceedings of the 2021 International Conference on Management of Data, 2557 …, 2021
202021
Adversarial machine learning against keystroke dynamics
P Negi, A Sharma, C Robustness
Stanford, 2017
52017
Neo: A Learned query optimizer. PVLDB 12, 11 (2018), 1705–1718
R Marcus, P Negi, H Mao, C Zhang, M Alizadeh, T Kraska, ...
51904
FactorJoin: A New Cardinality Estimation Framework for Join Queries
Z Wu, P Negi, M Alizadeh, T Kraska, S Madden
arXiv preprint arXiv:2212.05526, 2022
2022
Some Cardinality Estimates are More Equal than Others
P Negi
Massachusetts Institute of Technology, 2022
2022
현재 시스템이 작동되지 않습니다. 나중에 다시 시도해 주세요.
학술자료 1–14