activity
20042021
most citedRobust linear least squares regression

89 citations · 206 across the 15 of their papers we have counts for

collaborators

15 papers

math.ST2021★ 2 cited

New bounds for -means and information -means

Gautier Appert, Olivier Catoni

In this paper, we derive a new dimension-free non-asymptotic upper bound for the quadratic -means excess risk related to the quantization of an i.i.d sample in a separable Hilbe…

math.OC2018★ 4 cited

Constant payoff in zero-sum stochastic games

Olivier Catoni, Miquel Oliu-Barton, Bruno Ziliotto

In a zero-sum stochastic game, at each stage, two adversary players take decisions and receive a stage payoff determined by them and by a controlled random variable representing th…

math.ST2018★ 18 cited

Dimension-free PAC-Bayesian bounds for the estimation of the mean of a random vector

Olivier Catoni, Ilaria Giulini

In this paper, we present a new estimator of the mean of a random vector, computed by applying some threshold function to the norm. Non asymptotic dimension-free almost sub-Gaussia…

math.ST2017★ 42 cited

Dimension-free PAC-Bayesian bounds for matrices, vectors, and linear least squares regression

Olivier Catoni, Ilaria Giulini

This paper is focused on dimension-free PAC-Bayesian bounds, under weak polynomial moment assumptions, allowing for heavy tailed sample distributions. It covers the estimation of t…

stat.ML2016

Markov substitute processes : a new model for linguistics and beyond

Olivier Catoni, Thomas Mainguy

We introduce Markov substitute processes, a new model at the crossroad of statistics and formal grammars, and prove its main property : Markov substitute processes with a given sup…

math.ST2016★ 23 cited

PAC-Bayesian bounds for the Gram matrix and least squares regression with a random design

Olivier Catoni

The topics dicussed in this paper take their origin inthe estimation of the Gram matrix of a random vector from a sample made of n independent copies. They comprise the estimation…