Mohsen Ghassemi

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 20

Top Topics

Differentially Private

Logistic Regression

Sample Complexity Bounds

Top Venues

J. Priv. Confidentiality

Publications

Vamsi K. Potluru, Daniel Borrajo, Andrea Coletta, Niccolò Dalmasso, Yousef El-Laham, Elizabeth Fons, Mohsen Ghassemi, Sriram Gopalakrishnan, Vikesh Gosai, Eleonora Kreacic, Ganapathy Mani, Saheed Obitayo, Deepak Paramanand, Natraj Raman, Mikhail Solonin, Srijan Sood, Svitlana Vyetrenko, Haibei Zhu, Manuela Veloso, Tucker Balch
Synthetic Data Applications in Finance. CoRR (2024)
Shuaiqi Wang, Rongzhe Wei, Mohsen Ghassemi, Eleonora Kreacic, Vamsi K. Potluru
Guarding Multiple Secrets: Enhanced Summary Statistic Privacy for Data Sharing. CoRR (2024)
Aras Selvi, Eleonora Kreacic, Mohsen Ghassemi, Vamsi K. Potluru, Tucker Balch, Manuela Veloso
Distributionally and Adversarially Robust Logistic Regression via Intersecting Wasserstein Balls. CoRR (2024)
Niccolò Dalmasso, Renbo Zhao, Mohsen Ghassemi, Vamsi K. Potluru, Tucker Balch, Manuela Veloso
Efficient Event Series Data Modeling via First-Order Constrained Optimization. ICAIF (2023)
Renbo Zhao, Niccolò Dalmasso, Mohsen Ghassemi, Vamsi K. Potluru, Tucker Balch, Manuela Veloso
Fast Learning of Multidimensional Hawkes Processes via Frank-Wolfe. CoRR (2022)
Mohsen Ghassemi, Niccolò Dalmasso, Simran Lamba, Vamsi K. Potluru, Sameena Shah, Tucker Balch, Manuela Veloso
Online Learning for Mixture of Multivariate Hawkes Processes. CoRR (2022)
Mohsen Ghassemi, Niccolò Dalmasso, Simran Lamba, Vamsi K. Potluru, Tucker Balch, Sameena Shah, Manuela Veloso
Online Learning for Mixture of Multivariate Hawkes Processes. ICAIF (2022)
Mohsen Ghassemi, Eleonora Kreacic, Niccolò Dalmasso, Vamsi K. Potluru, Tucker Balch, Manuela Veloso
Differentially Private Learning of Hawkes Processes. CoRR (2022)
Batoul Taki, Mohsen Ghassemi, Anand D. Sarwate, Waheed U. Bajwa
A Minimax Lower Bound for Low-Rank Matrix-Variate Logistic Regression. CoRR (2021)
Batoul Taki, Mohsen Ghassemi, Anand D. Sarwate, Waheed U. Bajwa
A Minimax Lower Bound for Low-Rank Matrix-Variate Logistic Regression. ACSCC (2021)
Daniel M. Bittner, Alejandro E. Brito, Mohsen Ghassemi, Shantanu Rane, Anand D. Sarwate, Rebecca N. Wright
Understanding Privacy-Utility Tradeoffs in Differentially Private Online Active Learning. J. Priv. Confidentiality 10 (2) (2020)
Mohsen Ghassemi, Zahra Shakeri, Anand D. Sarwate, Waheed U. Bajwa
Learning Mixtures of Separable Dictionaries for Tensor Data: Analysis and Algorithms. IEEE Trans. Signal Process. 68 (2020)
Mohsen Ghassemi, Zahra Shakeri, Waheed U. Bajwa, Anand D. Sarwate
Sample Complexity Bounds for Low-Separation-Rank Dictionary Learning. ISIT (2019)
Zahra Shakeri, Batoul Taki, André L. F. de Almeida, Mohsen Ghassemi, Waheed U. Bajwa
Revisiting Sparse Channel Estimation in Massive MIMO-OFDM Systems. SPAWC (2019)
Mohsen Ghassemi, Zahra Shakeri, Anand D. Sarwate, Waheed U. Bajwa
Learning Mixtures of Separable Dictionaries for Tensor Data: Analysis and Algorithms. CoRR (2019)
Mohsen Ghassemi, Anand D. Sarwate, Naveen Goela
Global Optimality in Inductive Matrix Completion. ICASSP (2018)
Mohsen Ghassemi, Zahra Shakeri, Anand D. Sarwate, Waheed U. Bajwa
STARK: Structured dictionary learning through rank-one tensor recovery. CAMSAP (2017)
Mohsen Ghassemi, Zahra Shakeri, Anand D. Sarwate, Waheed U. Bajwa
STARK: Structured Dictionary Learning Through Rank-one Tensor Recovery. CoRR (2017)
Mohsen Ghassemi, Anand D. Sarwate, Rebecca N. Wright
Differentially Private Online Active Learning with Applications to Anomaly Detection. AISec@CCS (2016)
Mohsen Ghassemi, Anand D. Sarwate
Distributed proportional stochastic coordinate descent with social sampling. Allerton (2015)