research
∙
08/17/2023
Learning the hub graphical Lasso model with the structured sparsity via an efficient algorithm
Graphical models have exhibited their performance in numerous tasks rang...
share
research
∙
04/24/2023
A positive and moment-preserving Fourier spectral method
This paper presents a novel Fourier spectral method that utilizes optimi...
research
∙
12/11/2021
Determinantal point processes based on orthogonal polynomials for sampling minibatches in SGD
Stochastic gradient descent (SGD) is a cornerstone of machine learning. ...
research
∙
05/06/2021
Estimation and inference of signals via the stochastic geometry of spectrogram level sets
Spectrograms are fundamental tools in the detection, estimation and anal...
research
∙
04/17/2020
Estimation of sparse Gaussian graphical models with hidden clustering structure
Estimation of Gaussian graphical models is important in natural science ...
research
∙
02/26/2020
Efficient algorithms for multivariate shape-constrained convex regression problems
Shape-constrained convex regression problem deals with fitting a convex ...
research
∙
02/01/2019
On the Closed-form Proximal Mapping and Efficient Algorithms for Exclusive Lasso Models
The exclusive lasso regularization based on the ℓ_1,2 norm has become po...
research
∙
08/22/2018
