Muhammad J. Amjad

According to our database, Muhammad J. Amjad authored at least 11 papers between 2016 and 2023.

Collaborative distances:

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

2023

Data Commons.

Ramanathan V. Guha, Prashanth Radhakrishnan, Bo Xu, Wei Sun, Carolyn Au, Ajai Tirumali, Muhammad J. Amjad, Samantha N. Piekos, Natalie Diaz, Jennifer Chen, Julia Wu, Prem Ramaswami, James Manyika

CoRR, 2023

2022

Optimal probing with statistical guarantees for network monitoring at scale.

Branislav Kveton, Muhammad Jehangir Amjad, Christophe Diot, Dimitris Konomis, Augustin Soule, Xiaolong Yang

Comput. Commun., 2022

CloudCluster: Unearthing the Functional Structure of a Cloud Service.

Weiwu Pang, Sourav Panda, Muhammad Jehangir Amjad, Christophe Diot, Ramesh Govindan

Proceedings of the 19th USENIX Symposium on Networked Systems Design and Implementation, 2022

2019

mRSC: Multi-dimensional Robust Synthetic Control.

Muhammad J. Amjad, Vishal Misra, Devavrat Shah, Dennis Shen

Proc. ACM Meas. Anal. Comput. Syst., 2019

Time Series Predict DB.

Abdullah Alomar, Muhammad J. Amjad, Robert Lindland, Devavrat Shah

CoRR, 2019

mRSC: Multidimensional Robust Synthetic Control.

Muhammad Jehangir Amjad, Vishal Misra, Devavrat Shah, Dennis Shen

Proceedings of the Abstracts of the 2019 SIGMETRICS/Performance Joint International Conference on Measurement and Modeling of Computer Systems, 2019

2018

Model Agnostic Time Series Analysis via Matrix Estimation.

Anish Agarwal, Muhammad Jehangir Amjad, Devavrat Shah, Dennis Shen

Proc. ACM Meas. Anal. Comput. Syst., 2018

Robust Synthetic Control.

Muhammad J. Amjad, Devavrat Shah, Dennis Shen

J. Mach. Learn. Res., 2018

Time Series Analysis via Matrix Estimation.

Anish Agarwal, Muhammad Jehangir Amjad, Devavrat Shah, Dennis Shen

CoRR, 2018

2017

Censored Demand Estimation in Retail.

Muhammad J. Amjad, Devavrat Shah

Proc. ACM Meas. Anal. Comput. Syst., 2017

2016

Trading Bitcoin and Online Time Series Prediction.

Muhammad J. Amjad, Devavrat Shah

Proceedings of the NIPS 2016 Time Series Workshop, 2016