3 papers
cs.LG2024
Certified Multi-Fidelity Zeroth-Order Optimization
Ãtienne de Montbrun, Sébastien Gerchinovitz
We consider the problem of multi-fidelity zeroth-order optimization, where one can evaluate a function at various approximation levels (of varying costs), and the goal is to op…
math.ST2024
The loss landscape of deep linear neural networks: a second-order analysis
El Mehdi Achour, François Malgouyres, Sébastien Gerchinovitz
We study the optimization landscape of deep linear neural networks with the square loss. It is known that, under weak assumptions, there are no spurious local minima and no local m…
stat.ML2024
Diversity-Preserving K-Armed Bandits, Revisited
Hédi Hadiji, Sébastien Gerchinovitz, Jean-Michel Loubes +1
We consider the bandit-based framework for diversity-preserving recommendations introduced by Celis et al. (2019), who approached it in the case of a polytope mainly by a reduction…