17 citations · 24 across the 4 of their papers we have counts for
5 papers
Online Learning for Mixture of Multivariate Hawkes Processes
Mohsen Ghassemi, Niccolò Dalmasso, Simran Lamba +4
Online learning of Hawkes processes has received increasing attention in the last couple of years especially for modeling a network of actors. However, these works typically either…
Differentially Private Learning of Hawkes Processes
Mohsen Ghassemi, Eleonora Kreačić, Niccolò Dalmasso +3
Hawkes processes have recently gained increasing attention from the machine learning community for their versatility in modeling event sequence data. While they have a rich history…
A Minimax Lower Bound for Low-Rank Matrix-Variate Logistic Regression
Batoul Taki, Mohsen Ghassemi, Anand D. Sarwate +1
This paper considers the problem of matrix-variate logistic regression. It derives the fundamental error threshold on estimating low-rank coefficient matrices in the logistic regre…
Learning Mixtures of Separable Dictionaries for Tensor Data: Analysis and Algorithms
Mohsen Ghassemi, Zahra Shakeri, Anand D. Sarwate +1
This work addresses the problem of learning sparse representations of tensor data using structured dictionary learning. It proposes learning a mixture of separable dictionaries to…
STARK: Structured Dictionary Learning Through Rank-one Tensor Recovery
Mohsen Ghassemi, Zahra Shakeri, Anand D. Sarwate +1
In recent years, a class of dictionaries have been proposed for multidimensional (tensor) data representation that exploit the structure of tensor data by imposing a Kronecker stru…