1 citations · 1 across the 3 of their papers we have counts for
3 papers
Maximum Tsallis Entropy Distributions for Robust and Efficient Sparse Learning from Correlated Data
Kai Yang, Masoud Asgharian, Celia M. T. Greenwood
This paper addresses the limitations of Gaussian distribution assumptions in statistical sparse learning, particularly in modeling correlated and heterogeneous data. Conventional G…
fastHDMI: Fast Mutual Information Estimation for High-Dimensional Data
Kai Yang, Masoud Asgharian, Nikhil Bhagwat +2
In this paper, we introduce fastHDMI, a Python package designed for efficient variable screening in high-dimensional datasets, particularly neuroimaging data. This work pioneers th…
Accelerated Gradient Methods for Sparse Statistical Learning with Nonconvex Penalties
Kai Yang, Masoud Asgharian, Sahir Bhatnagar
Nesterov's accelerated gradient (AG) is a popular technique to optimize objective functions comprising two components: a convex loss and a penalty function. While AG methods perfor…