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Hugo Lebeau

2 accepted papers

2024

Performance Gaps in Multi-view Clustering under the Nested Matrix-Tensor Model

ICLR 2024poster

We study the estimation of a planted signal hidden in a recently introduced nested matrix-tensor model, which is an extension of the classical spiked rank-one tensor model, motivated by multi-view clustering. Prior work has theoretically examined the performance of a tensor-based approach, which rel…

2022

A Random Matrix Analysis of Data Stream Clustering: Coping With Limited Memory Resources

ICML 2022spotlight

This article introduces a random matrix framework for the analysis of clustering on high-dimensional data streams, a particularly relevant setting for a more sober processing of large amounts of data with limited memory and energy resources. Assuming data $\mathbf{x}_1, \mathbf{x}_2, \ldots$ arrives…

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