18 citations · 27 across the 2 of their papers we have counts for
7 papers
White Paper Machine Learning in Certified Systems
Hervé Delseny, Christophe Gabreau, Adrien Gauffriau +25
Machine Learning (ML) seems to be one of the most promising solution to automate partially or completely some of the complex tasks currently realized by humans, such as driving veh…
Online nonparametric regression with Sobolev kernels
Oleksandr Zadorozhnyi, Pierre Gaillard, Sebastien Gerschinovitz +1
In this work we investigate the variation of the online kernelized ridge regression algorithm in the setting of dimensional adversarial nonparametric regression. We derive the…
The sample complexity of level set approximation
François Bachoc, Tommaso Cesari, Sébastien Gerchinovitz
We study the problem of approximating the level set of an unknown function by sequentially querying its values. We introduce a family of algorithms called Bisect and Approximate th…
Optimization of a SSP's Header Bidding Strategy using Thompson Sampling
Grégoire Jauvion, Nicolas Grislain, Pascal Sielenou Dkengne +2
Over the last decade, digital media (web or app publishers) generalized the use of real time ad auctions to sell their ad spaces. Multiple auction platforms, also called Supply-Sid…
Uniform regret bounds over for the sequential linear regression problem with the square loss
Pierre Gaillard, Sébastien Gerchinovitz, Malo Huard +1
We consider the setting of online linear regression for arbitrary deterministic sequences, with the square loss. We are interested in the aim set by Bartlett et al. (2015): obtain…
Optimal functional supervised classification with separation condition
Sébastien Gadat, Sébastien Gerchinovitz, Clément Marteau
We consider the binary supervised classification problem with the Gaussian functional model introduced in [7]. Taking advantage of the Gaussian structure, we design a natural plug-…