Search Results for author: Yann Issartel

Found 5 papers, 0 papers with code

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

no code implementations6 Aug 2021 Christophe Giraud, Yann Issartel, Nicolas Verzelen

We consider the problem of estimating latent positions in a one-dimensional torus from pairwise affinities.

Locally differentially private estimation of nonlinear functionals of discrete distributions

no code implementations NeurIPS 2021 Cristina Butucea, Yann Issartel

In the non-interactive case, we study two plug-in type estimators of $F_{\gamma}$, for all $\gamma >0$, that are similar to the MLE analyzed by Jiao et al. (2017) in the multinomial model.

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Locally differentially private estimation of functionals of discrete distributions

no code implementations NeurIPS 2021 Cristina Butucea, Yann Issartel

In the non-interactive case, we study several plug-in type estimators of $F_{\gamma}$, for all $\gamma >0$, that are similar to the MLE which has been analyzed by Jiao et al. (2017) in the multinomial model.

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On the Estimation of Network Complexity: Dimension of Graphons

no code implementations6 Sep 2019 Yann Issartel

Based on this estimated distance, we compute the corresponding covering number and Minkowski dimension and we provide optimal non-asymptotic error bounds for these two plug-in estimators.

Pair-Matching: Links Prediction with Adaptive Queries

no code implementations17 May 2019 Christophe Giraud, Yann Issartel, Luc Lehéricy, Matthieu Lerasle

This paper shows that sublinear regret is achievable in the case where the graph is generated according to a Stochastic Block Model (SBM) with two communities.

Community Detection Stochastic Block Model

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