Alejandro de la Concha Duarte — accepted AI-conference papers

2026

Collaborative likelihood-ratio estimation over graphs

Alejandro de la Concha Duarte, Nicolas Vayatis, Argyris Kalogeratos

ICML 2026poster

This paper introduces the Collaborative Likelihood-ratio Estimation problem, which is relevant for applications involving multiple statistical estimation tasks that can be mapped to the nodes of a fixed graph expressing pairwise task similarity. Each graph node $v$ observes i.i.d data from two unkno…

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2021

Offline detection of change-points in the mean for stationary graph signals.

Alejandro de la Concha Duarte, Nicolas Vayatis, Argyris Kalogeratos

AISTATS 2021poster

This paper addresses the problem of segmenting a stream of graph signals: we aim to detect changes in the mean of the multivariate signal defined over the nodes of a known graph. We propose an offline algorithm that relies on the concept of graph signal stationarity and allows the convenient transla…

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