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20042023
most citedConsistency of spectral clustering in stochastic block models

331 citations · 1.8k across the 71 of their papers we have counts for

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Showing 2021Show all

6 papers · 1 filter

math.ST2021★ 5 cited

Denoising and change point localisation in piecewise-constant high-dimensional regression coefficients

Fan Wang, Oscar Hernan Madrid Padilla, Yi Yu +1

We study the theoretical properties of the fused lasso procedure originally proposed by \cite{tibshirani2005sparsity} in the context of a linear regression model in which the regre…

math.ST2021★ 2 cited

Generalized Results for the Existence and Consistency of the MLE in the Bradley-Terry-Luce Model

Heejong Bong, Alessandro Rinaldo

Ranking problems based on pairwise comparisons, such as those arising in online gaming, often involve a large pool of items to order. In these situations, the gap in performance be…

math.ST2021★ 1 cited

Optimal partition recovery in general graphs

Yi Yu, Oscar Hernan Madrid Padilla, Alessandro Rinaldo

We consider a graph-structured change point problem in which we observe a random vector with piecewise constant but unknown mean and whose independent, sub-Gaussian coordinates cor…

math.ST2021

-Bounds of the MLE in the BTL Model under General Comparison Graphs

Wanshan Li, Shamindra Shrotriya, Alessandro Rinaldo

The Bradley-Terry-Luce (BTL) model is a popular statistical approach for estimating the global ranking of a collection of items using pairwise comparisons. To ensure accurate ranki…

math.ST2021★ 3 cited

Lattice partition recovery with dyadic CART

Oscar Hernan Madrid Padilla, Yi Yu, Alessandro Rinaldo

We study piece-wise constant signals corrupted by additive Gaussian noise over a -dimensional lattice. Data of this form naturally arise in a host of applications, and the tasks…

math.ST2021★ 9 cited

Optimal network online change point localisation

Yi Yu, Oscar Hernan Madrid Padilla, Daren Wang +1

We study the problem of online network change point detection. In this setting, a collection of independent Bernoulli networks is collected sequentially, and the underlying distrib…