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pro vyhledávání: '"Hejný, Ivan"'
Popular regularizers with non-differentiable penalties, such as Lasso, Elastic Net, Generalized Lasso, or SLOPE, reduce the dimension of the parameter space by inducing sparsity or clustering in the estimators' coordinates. In this paper, we focus on
Externí odkaz:
http://arxiv.org/abs/2405.07677
The Sorted L-One Estimator (SLOPE) is a popular regularization method in regression, which induces clustering of the estimated coefficients. That is, the estimator can have coefficients of identical magnitude. In this paper, we derive an asymptotic d
Externí odkaz:
http://arxiv.org/abs/2303.10970
Autor:
Hejný, Ivan
Wir verwenden zufällige Ströme (random currents), um das Ising-Modell in der Ebene zu untersuchen. Aufbauend auf den neuen Resultaten über die stochastische Geometrie der zufälligen Ströme von Aizenman et al. benutzen wir eine Version des Switch
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::30cb5df4d13257cc07d4e48f7a1b1634