Irina Rish

Books by this Editor

Edited By Irina Rish, Guillermo A. Cecchi, Aurelie Lozano, Alexandru Niculescu-Mizil
Sparse modeling is a rapidly developing area at the intersection of statistical learning and signal processing, motivated by the age-old statistical problem of selecting a small number of predictive variables in high-dimensional datasets. This collection describes key approaches in sparse modeling, focusing on its applications in fields including neuroscience, computational biology, and computer...

Journal Articles by this Author

Neural Computation
Volume 33, Issue 8 (August 2021)
By Germán Abrevaya, Guillaume Dumas, Aleksandr Y. Aravkin, Peng Zheng, Jean-Christophe Gagnon-Audet, James Kozloski, Pablo Polosecki, Guillaume Lajoie, David Cox, Silvina Ponce Dawson, Guillermo Cecchi, Irina Rish