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Mohsen Ghassemi
Mohsen Ghassemi
J.P. Morgan AI Research
Verified email at jpmorgan.com - Homepage
Title
Cited by
Cited by
Year
STARK: Structured dictionary learning through rank-one tensor recovery
M Ghassemi, Z Shakeri, AD Sarwate, WU Bajwa
2017 IEEE 7th International Workshop on Computational Advances in Multi …, 2017
222017
Learning mixtures of separable dictionaries for tensor data: Analysis and algorithms
M Ghassemi, Z Shakeri, AD Sarwate, WU Bajwa
IEEE transactions on signal processing 68, 33-48, 2019
182019
Differentially private online active learning with applications to anomaly detection
M Ghassemi, AD Sarwate, RN Wright
Proceedings of the 2016 ACM Workshop on Artificial Intelligence and Security …, 2016
172016
Understanding privacy-utility tradeoffs in differentially private online active learning
DM Bittner, AE Brito, M Ghassemi, S Rane, AD Sarwate, RN Wright
Journal of Privacy and Confidentiality 10 (2), 2020
72020
Global optimality in inductive matrix completion
M Ghassemi, A Sarwate, N Goela
2018 IEEE International Conference on Acoustics, Speech and Signal …, 2018
62018
Cognitive radio ad hoc networks for smart grid communications: A disaster management approach
H Khayami, M Ghassemi, K Ardekani, B Maham, W Saad
2013 IEEE/CIC International Conference on Communications in China (ICCC …, 2013
62013
Online learning for mixture of multivariate hawkes processes
M Ghassemi, N Dalmasso, S Lamba, V Potluru, T Balch, S Shah, ...
Proceedings of the Third ACM International Conference on AI in Finance, 506-513, 2022
42022
Sample complexity bounds for low-separation-rank dictionary learning
M Ghassemi, Z Shakeri, WU Bajwa, AD Sarwate
2019 IEEE International Symposium on Information Theory (ISIT), 2294-2298, 2019
42019
Synthetic Data Applications in Finance
VK Potluru, D Borrajo, A Coletta, N Dalmasso, Y El-Laham, E Fons, ...
arXiv preprint arXiv:2401.00081, 2023
32023
Fast learning of multidimensional hawkes processes via frank-wolfe
R Zhao, N Dalmasso, M Ghassemi, VK Potluru, T Balch, M Veloso
arXiv preprint arXiv:2212.06081, 2022
32022
A minimax lower bound for low-rank matrix-variate logistic regression
B Taki, M Ghassemi, AD Sarwate, WU Bajwa
2021 55th Asilomar Conference on Signals, Systems, and Computers, 477-484, 2021
32021
Distributed proportional stochastic coordinate descent with social sampling
M Ghassemi, AD Sarwate
2015 53rd Annual Allerton Conference on Communication, Control, and …, 2015
32015
Revisiting sparse channel estimation in massive MIMO-OFDM systems
Z Shakeri, B Taki, ALF De Almeida, M Ghassemi, WU Bajwa
2019 IEEE 20th International Workshop on Signal Processing Advances in …, 2019
22019
Guarding Multiple Secrets: Enhanced Summary Statistic Privacy for Data Sharing
S Wang, R Wei, M Ghassemi, E Kreacic, VK Potluru
arXiv preprint arXiv:2405.13804, 2024
2024
Method and system for differentially private learning of hawkes processes
M Ghassemi, E Kreacic, N Dalmasso, VK Potluru, TR Balch, M Veloso
US Patent App. 17/963,840, 2024
2024
Active Learning with Missing Not At Random Outcomes
A Mishler, M Ghassemi, A Koppel, S Ganesh
NeurIPS 2023 Workshop on Adaptive Experimental Design and Active Learning in …, 2023
2023
Efficient Event Series Data Modeling via First-Order Constrained Optimization
N Dalmasso, R Zhao, M Ghassemi, V Potluru, T Balch, M Veloso
Proceedings of the Fourth ACM International Conference on AI in Finance, 463-471, 2023
2023
Method and system for online learning for mixture of multivariate hawkes processes
M Ghassemi, S Lamba, VK Potluru, S Shah, M Veloso
US Patent App. 17/656,297, 2022
2022
Differentially Private Learning of Hawkes Processes
M Ghassemi, E Kreačić, N Dalmasso, VK Potluru, T Balch, M Veloso
arXiv preprint arXiv:2207.13741, 2022
2022
Nonconvex Matrix and Tensor Recovery with Applications in Machine Learning
M Ghassemi
Rutgers The State University of New Jersey, School of Graduate Studies, 2021
2021
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