19 citations · 22 across the 8 of their papers we have counts for
5 papers · 1 filter
Beyond GAP screening for Lasso by exploiting new dual cutting half-spaces with supplementary material
Thu-Le Tran, Clément Elvira, Hong-Phuong Dang +1
In this paper, we propose a novel safe screening test for Lasso. Our procedure is based on a safe region with a dome geometry and exploits a canonical representation of the set of…
Generalized Kernel-Based Dynamic Mode Decomposition
Patrick Heas, Cedric Herzet, Benoit Combes
Reduced modeling in high-dimensional reproducing kernel Hilbert spaces offers the opportunity to approximate efficiently non-linear dynamics. In this work, we devise an algorithm b…
Safe squeezing for antisparse coding
Clément Elvira, Cédric Herzet
Spreading the information over all coefficients of a representation is a desirable property in many applications such as digital communication or machine learning. This so-called a…
Bilinear residual Neural Network for the identification and forecasting of dynamical systems
Ronan Fablet, Said Ouala, Cedric Herzet
Due to the increasing availability of large-scale observation and simulation datasets, data-driven representations arise as efficient and relevant computation representations of dy…
Joint Screening Tests for LASSO
C. Herzet, A. Drémeau
This paper focusses on "safe" screening techniques for the LASSO problem. Motivated by the need for low-complexity algorithms, we propose a new approach, dubbed "joint" screening t…