| 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 | 22 | 2017 |
| 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 | 18 | 2019 |
| 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 | 16 | 2016 |
| Global optimality in inductive matrix completion M Ghassemi, A Sarwate, N Goela 2018 IEEE International Conference on Acoustics, Speech and Signal …, 2018 | 6 | 2018 |
| 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 | 6 | 2013 |
| 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 | 4 | 2020 |
| 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 | 3 | 2022 |
| 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 | 3 | 2022 |
| 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 | 3 | 2021 |
| 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 | 3 | 2019 |
| Distributed proportional stochastic coordinate descent with social sampling M Ghassemi, AD Sarwate 2015 53rd Annual Allerton Conference on Communication, Control, and …, 2015 | 3 | 2015 |
| 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 | 2 | 2019 |
| 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 |
| Synthetic Data Applications in Finance VK Potluru, D Borrajo, A Coletta, N Dalmasso, Y El-Laham, E Fons, ... arXiv preprint arXiv:2401.00081, 2023 | | 2023 |
| 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 |
| From coordinate descent to social sampling: Coordinate sampling for large scale optimization M Ghassemi Rutgers The State University of New Jersey, School of Graduate Studies, 2016 | | 2016 |
