Mohsen Ghassemi

26 papers A* 2A 1B 1Misc 1Journal 14Unranked 7

Year	Rank	Type	Title / Venue / Authors
2025	A*	`conf`	Auditing and Enforcing Conditional Fairness via Optimal Transport. AAAI Mohsen Ghassemi, Alan Mishler, Niccolò Dalmasso, Luhao Zhang, Vamsi K. Potluru, Tucker Balch, Manuela Veloso
2025	A	`conf`	Distributionally and Adversarially Robust Logistic Regression via Intersecting Wasserstein Balls. UAI Aras Selvi, Eleonora Kreacic, Mohsen Ghassemi, Vamsi K. Potluru, Tucker Balch, Manuela Veloso
2025	J	`jnl`	Do LLMs Really Forget? Evaluating Unlearning with Knowledge Correlation and Confidence Awareness. CoRR Rongzhe Wei, Peizhi Niu, Hans Hao-Hsun Hsu, Ruihan Wu, Haoteng Yin, Mohsen Ghassemi, Yifan Li, Vamsi K. Potluru, Eli Chien, Kamalika Chaudhuri, Olgica Milenkovic, Pan Li
2025	A*	`conf`	Underestimated Privacy Risks for Minority Populations in Large Language Model Unlearning. ICML Rongzhe Wei, Mufei Li, Mohsen Ghassemi, Eleonora Kreacic, Yifan Li, Xiang Yue, Bo Li, Vamsi K. Potluru, Pan Li, Eli Chien
2024	J	`jnl`	Auditing and Enforcing Conditional Fairness via Optimal Transport. CoRR Mohsen Ghassemi, Alan Mishler, Niccolò Dalmasso, Luhao Zhang, Vamsi K. Potluru, Tucker Balch, Manuela Veloso
2024	J	`jnl`	Distributionally and Adversarially Robust Logistic Regression via Intersecting Wasserstein Balls. CoRR Aras Selvi, Eleonora Kreacic, Mohsen Ghassemi, Vamsi K. Potluru, Tucker Balch, Manuela Veloso
2024	J	`jnl`	Guarding Multiple Secrets: Enhanced Summary Statistic Privacy for Data Sharing. CoRR Shuaiqi Wang, Rongzhe Wei, Mohsen Ghassemi, Eleonora Kreacic, Vamsi K. Potluru
2024	J	`jnl`	Synthetic Data Applications in Finance. CoRR 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
2024	J	`jnl`	Underestimated Privacy Risks for Minority Populations in Large Language Model Unlearning. CoRR Rongzhe Wei, Mufei Li, Mohsen Ghassemi, Eleonora Kreacic, Yifan Li, Xiang Yue, Bo Li, Vamsi K. Potluru, Pan Li, Eli Chien
2023	—	`conf`	Efficient Event Series Data Modeling via First-Order Constrained Optimization. ICAIF Niccolò Dalmasso, Renbo Zhao, Mohsen Ghassemi, Vamsi K. Potluru, Tucker Balch, Manuela Veloso
2022	J	`jnl`	Differentially Private Learning of Hawkes Processes. CoRR Mohsen Ghassemi, Eleonora Kreacic, Niccolò Dalmasso, Vamsi K. Potluru, Tucker Balch, Manuela Veloso
2022	J	`jnl`	Fast Learning of Multidimensional Hawkes Processes via Frank-Wolfe. CoRR Renbo Zhao, Niccolò Dalmasso, Mohsen Ghassemi, Vamsi K. Potluru, Tucker Balch, Manuela Veloso
2022	—	`conf`	Online Learning for Mixture of Multivariate Hawkes Processes. ICAIF Mohsen Ghassemi, Niccolò Dalmasso, Simran Lamba, Vamsi K. Potluru, Tucker Balch, Sameena Shah, Manuela Veloso
2022	J	`jnl`	Online Learning for Mixture of Multivariate Hawkes Processes. CoRR Mohsen Ghassemi, Niccolò Dalmasso, Simran Lamba, Vamsi K. Potluru, Sameena Shah, Tucker Balch, Manuela Veloso
2021	—	`conf`	A Minimax Lower Bound for Low-Rank Matrix-Variate Logistic Regression. ACSCC Batoul Taki, Mohsen Ghassemi, Anand D. Sarwate, Waheed U. Bajwa
2021	J	`jnl`	A Minimax Lower Bound for Low-Rank Matrix-Variate Logistic Regression. CoRR Batoul Taki, Mohsen Ghassemi, Anand D. Sarwate, Waheed U. Bajwa
2020	J	`jnl`	Learning Mixtures of Separable Dictionaries for Tensor Data: Analysis and Algorithms. IEEE Trans. Signal Process. Mohsen Ghassemi, Zahra Shakeri, Anand D. Sarwate, Waheed U. Bajwa
2020	J	`jnl`	Understanding Privacy-Utility Tradeoffs in Differentially Private Online Active Learning. J. Priv. Confidentiality Daniel M. Bittner, Alejandro E. Brito, Mohsen Ghassemi, Shantanu Rane, Anand D. Sarwate, Rebecca N. Wright
2019	J	`jnl`	Learning Mixtures of Separable Dictionaries for Tensor Data: Analysis and Algorithms. CoRR Mohsen Ghassemi, Zahra Shakeri, Anand D. Sarwate, Waheed U. Bajwa
2019	—	`conf`	Revisiting Sparse Channel Estimation in Massive MIMO-OFDM Systems. SPAWC Zahra Shakeri, Batoul Taki, André L. F. de Almeida, Mohsen Ghassemi, Waheed U. Bajwa
2019	B	`conf`	Sample Complexity Bounds for Low-Separation-Rank Dictionary Learning. ISIT Mohsen Ghassemi, Zahra Shakeri, Waheed U. Bajwa, Anand D. Sarwate
2018	Misc	`conf`	Global Optimality in Inductive Matrix Completion. ICASSP Mohsen Ghassemi, Anand D. Sarwate, Naveen Goela
2017	J	`jnl`	STARK: Structured Dictionary Learning Through Rank-one Tensor Recovery. CoRR Mohsen Ghassemi, Zahra Shakeri, Anand D. Sarwate, Waheed U. Bajwa
2017	—	`conf`	STARK: Structured dictionary learning through rank-one tensor recovery. CAMSAP Mohsen Ghassemi, Zahra Shakeri, Anand D. Sarwate, Waheed U. Bajwa
2016	—	`conf`	Differentially Private Online Active Learning with Applications to Anomaly Detection. AISec@CCS Mohsen Ghassemi, Anand D. Sarwate, Rebecca N. Wright
2015	—	`conf`	Distributed proportional stochastic coordinate descent with social sampling. Allerton Mohsen Ghassemi, Anand D. Sarwate