16 citations · 16 across the 4 of their papers we have counts for
5 papers
Variational Bayesian Sparse Negative Binomial Regression
Mitra Kharabati, Morteza Amini, Mohammad Arashi
Count data with overdispersion and high-dimensional predictors pose significant challenges in modern applications. While negative binomial regression offers a flexible modeling fra…
On weight and variance uncertainty in neural networks for regression tasks
Moein Monemi, Morteza Amini, S. Mahmoud Taheri +1
We investigate the problem of weight uncertainty originally proposed by [Blundell et al. (2015). Weight uncertainty in neural networks. In International conference on machine learn…
Variational Inference for Sparse Poisson Regression
Mitra Kharabati, Morteza Amini, Mohammad Arashi
We have utilized the non-conjugate Variational Bayesian (VB) method for the problem of the sparse Poisson regression model. To provide approximate conjugacy in the model, the likel…
Functional Regression Models with Functional Response: A New Approach and a Comparative Study
Manuel Febrero Bande, Manuel Oviedo de la Fuente, Mohammad Darbalaei +1
This paper proposes a new nonlinear approach for additive functional regression with functional response based on kernel methods along with some slight reformulation and implementa…
Multiparameter estimation, lower bound on quantum Fisher information and non-Markovianity witnesses of noisy two-qubit systems
Hossein Rangani Jahromi, Mansoureh Amini, Mohammad Ghanaatian
By using the quantum Fisher information (QFI), we address the process of \textit{single}-parameter estimation in the presence of bosonic as well as fermionic environments and prote…