11 citations · 11 across the 1 of their papers we have counts for
4 papers
Risk Bounds for Learning Multiple Components with Permutation-Invariant Losses
Fabien Lauer
This paper proposes a simple approach to derive efficient error bounds for learning multiple components with sparsity-inducing regularization. We show that for such regularization…
Rademacher Complexity and Generalization Performance of Multi-category Margin Classifiers
Khadija Musayeva, Fabien Lauer, Yann Guermeur
One of the main open problems in the theory of multi-category margin classification is the form of the optimal dependency of a guaranteed risk on the number C of categories, the sa…
On the exact minimization of saturated loss functions for robust regression and subspace estimation
Fabien Lauer
This paper deals with robust regression and subspace estimation and more precisely with the problem of minimizing a saturated loss function. In particular, we focus on computationa…
Global optimization for low-dimensional switching linear regression and bounded-error estimation
Fabien Lauer
The paper provides global optimization algorithms for two particularly difficult nonconvex problems raised by hybrid system identification: switching linear regression and bounded-…