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20092024
most citedStructured Sparse Principal Component Analysis

295 citations · 503 across the 6 of their papers we have counts for

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5 papers · 1 filter

stat.ML2022

Robust detection and attribution of climate change under interventions

Enikő Székely, Sebastian Sippel, Nicolai Meinshausen +2

Fingerprints are key tools in climate change detection and attribution (D&A) that are used to determine whether changes in observations are different from internal climate variabil…

stat.ML2020123 cited

Tensor Decompositions for temporal knowledge base completion

Timothée Lacroix, Guillaume Obozinski, Nicolas Usunier

Most algorithms for representation learning and link prediction in relational data have been designed for static data. However, the data they are applied to usually evolves with ti…

stat.ML2018

Learning the effect of latent variables in Gaussian Graphical models with unobserved variables

Marina Vinyes, Guillaume Obozinski

The edge structure of the graph defining an undirected graphical model describes precisely the structure of dependence between the variables in the graph. In many applications, the…

stat.ML2018

Canonical Tensor Decomposition for Knowledge Base Completion

Timothée Lacroix, Nicolas Usunier, Guillaume Obozinski

The problem of Knowledge Base Completion can be framed as a 3rd-order binary tensor completion problem. In this light, the Canonical Tensor Decomposition (CP) (Hitchcock, 1927) see…

stat.ML2009295 cited

Structured Sparse Principal Component Analysis

Rodolphe Jenatton, Guillaume Obozinski, Francis Bach

We present an extension of sparse PCA, or sparse dictionary learning, where the sparsity patterns of all dictionary elements are structured and constrained to belong to a prespecif…