This paper introduces a smooth method for (structured) sparsity in ℓ_q
a...
Recommender Systems (RS) pervade many aspects of our everyday digital li...
Hearing loss is a major health problem and psychological burden in human...
Modern ocean datasets are large, multi-dimensional, and inherently
spati...
We introduce GGLasso, a Python package for solving General Graphical Las...
We present `latentcor`, an R package for correlation estimation from dat...
Many scientific datasets are compositional in nature. Important examples...
This paper describes the implementation of semi-structured deep
distribu...
Numerical methods for approximately solving partial differential equatio...
We propose a statistical learning framework based on group-sparse regres...
We introduce c-lasso, a Python package that enables sparse and robust li...
Latent Gaussian copula models provide a powerful means to perform multi-...
We present a statistical learning framework for robust identification of...
Compositional data sets are ubiquitous in science, including geology,
ec...
We introduce an optimization model for maximum likelihood-type estimatio...