Parimarjan Negi
Parimarjan Negi
PhD Student, MIT
Adresse e-mail validée de mit.edu - Page d'accueil
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Neo: A learned query optimizer
R Marcus, P Negi, H Mao, C Zhang, M Alizadeh, T Kraska, ...
arXiv preprint arXiv:1904.03711, 2019
1172019
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
462018
High throughput cryptocurrency routing in payment channel networks
V Sivaraman, SB Venkatakrishnan, K Ruan, P Negi, L Yang, R Mittal, ...
17th {USENIX} Symposium on Networked Systems Design and Implementation …, 2020
372020
Park: An open platform for learning augmented computer systems
H Mao, P Negi, A Narayan, H Wang, J Yang, H Wang, R Marcus, ...
372019
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
122020
Bao: Learning to steer query optimizers
R Marcus, P Negi, H Mao, N Tatbul, M Alizadeh, T Kraska
arXiv preprint arXiv:2004.03814, 2020
112020
K-means++ vs. Behavioral Biometrics: One Loop to Rule Them All.
P Negi, P Sharma, V Jain, B Bahmani
NDSS, 2018
92018
Adversarial Machine Learning against keystroke dynamics
P Negi, A Sharma, C Robustness
Stanford, CS229, 2017
32017
Bao: Making learned query optimization practical
R Marcus, P Negi, H Mao, N Tatbul, M Alizadeh, T Kraska
Proceedings of the 2021 International Conference on Management of Data, 1275 …, 2021
12021
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
12021
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
2021
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