6 citations · 6 across the 4 of their papers we have counts for
6 papers
SubSearch: Robust Estimation and Outlier Detection for Stochastic Block Models via Subgraph Search
Leonardo Martins Bianco, Christine Keribin, Zacharie Naulet
Community detection is a fundamental task in graph analysis, with methods often relying on fitting models like the Stochastic Block Model (SBM) to observed networks. While many alg…
On the impossibility of detecting a late change-point in the preferential attachment random graph model
Ibrahim Kaddouri, Zacharie Naulet, Élisabeth Gassiat
We consider the problem of late change-point detection under the preferential attachment random graph model with time dependent attachment function. This can be formulated as a hyp…
Clustering risk in Non-parametric Hidden Markov and I.I.D. Models
Elisabeth Gassiat, Ibrahim Kaddouri, Zacharie Naulet
We conduct an in-depth analysis of the Bayes risk of clustering in the context of Hidden Markov and i.i.d. models. In both settings, we identify the situations where this risk is c…
Risk of the Least Squares Minimum Norm Estimator under the Spike Covariance Model
Yasaman Mahdaviyeh, Zacharie Naulet
We study risk of the minimum norm linear least squares estimator in when the number of parameters depends on , and . We assume that data has…
Optimal disclosure risk assessment
Federico Camerlenghi, Stefano Favaro, Zacharie Naulet +1
Protection against disclosure is a legal and ethical obligation for agencies releasing microdata files for public use. Consider a microdata sample of size from a finite populat…
Exchangeable modelling of relational data: checking sparsity, train-test splitting, and sparse exchangeable Poisson matrix factorization
Victor Veitch, Ekansh Sharma, Zacharie Naulet +1
A variety of machine learning tasks---e.g., matrix factorization, topic modelling, and feature allocation---can be viewed as learning the parameters of a probability distribution o…