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20072023
most citedGaussian model selection with an unknown variance

57 citations · 134 across the 21 of their papers we have counts for

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14 papers · 1 filter

math.ST2022

The price of unfairness in linear bandits with biased feedback

Solenne Gaucher, Alexandra Carpentier, Christophe Giraud

In this paper, we study the problem of fair sequential decision making with biased linear bandit feedback. At each round, a player selects an action described by a covariate and by…

math.ST2021★ 1 cited

Localization in 1D non-parametric latent space models from pairwise affinities

Christophe Giraud, Yann Issartel, Nicolas Verzelen

We consider the problem of estimating latent positions in a one-dimensional torus from pairwise affinities. The observed affinity between a pair of items is modeled as a noisy obse…

math.ST2018★ 1 cited

Partial recovery bounds for clustering with the relaxed means

Christophe Giraud, Nicolas Verzelen

We investigate the clustering performances of the relaxed means in the setting of sub-Gaussian Mixture Model (sGMM) and Stochastic Block Model (SBM). After identifying the appro…

math.ST2016★ 13 cited

PECOK: a convex optimization approach to variable clustering

Florentina Bunea, Christophe Giraud, Martin Royer +1

The problem of variable clustering is that of grouping similar components of a -dimensional vector , and estimating these groups from independent cop…

math.ST2014★ 14 cited

Aggregation of predictors for nonstationary sub-linear processes and online adaptive forecasting of time varying autoregressive processes

Christophe Giraud, François Roueff, Andres Sanchez-Perez

In this work, we study the problem of aggregating a finite number of predictors for nonstationary sub-linear processes. We provide oracle inequalities relying essentially on three…

math.ST2012★ 15 cited

Discussion: Latent variable graphical model selection via convex optimization

Christophe Giraud, Alexandre Tsybakov

Discussion of "Latent variable graphical model selection via convex optimization" by Venkat Chandrasekaran, Pablo A. Parrilo and Alan S. Willsky [arXiv:1008.1290].