In: Information and Inference: A Journal of the IMA, 2017, vol. 6, no. 3, p. 246-283
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Thèse de doctorat : Università della Svizzera italiana, 2021 ; 2021INFO008.
Fundamental tasks in multivariate and numerical analysis, such as sparse precision matrix estimation via graphical lasso and function approximation, are formulated in ever-increasing dimensions. Consequently, this results in a significant increase in the computational demand that quickly renders standard solution methods intractable. With this motivation, we present two scalable algorithms that...
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In: Foundations of Computational Mathematics, 2014, vol. 14, no. 4, p. 601-633
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In: Journal of Mathematical Imaging and Vision, 2014, vol. 48, no. 1, p. 160-175
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Thèse de doctorat : Università della Svizzera italiana, 2019 ; 2019INFO002.
The explicit evaluation of selected entries of the inverse of a given sparse matrix is an important process in various application fields and is gaining visibility in recent years. While a standard inversion process would require the computation of the whole inverse who is, in general, a dense matrix, state-of-the-art solvers perform a selected inversion process instead. Such approach allows...
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In: Journal of Mathematical Imaging and Vision, 2011, vol. 41, no. 1-2, p. 39-58
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In: Journal of Computational Electronics, 2008, vol. 7, no. 4, p. 509-520
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In: Journal of Computational Electronics, 2008, vol. 7, no. 4, p. 521-529
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In: Statistics and Computing, 2012, vol. 22, no. 1, p. 219-235
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In: Operations-Research-Spektrum, 1997, vol. 19, no. 1, p. 47-53
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