Application of LADMM and As-LADMM for a High-Dimensional Partially Linear Model

Autor: Aifen Feng, Xiaogai Chang, Jingya Fan, Zhengfen Jin

Publikováno v: Mathematics, Vol 11, Iss 19, p 4220 (2023)

This paper mainly studies the application of the linearized alternating direction method of multiplier (LADMM) and the accelerated symmetric linearized alternating direction method of multipliers (As-LADMM) for high dimensional partially linear model

Externí odkaz: https://doaj.org/article/ea31113d6a3248bf9bdb034d669b6fac

l1-spectral clustering algorithm: a spectral clustering method using l1-regularization

Autor: Champion, Camille, Champion, Magali, Blazère, Mélanie, Burcelin, Rémy, Loubes, Jean-Michel

Detecting cluster structure is a fundamental task to understand and visualize functional characteristics of a graph. Among the different clustering methods available, spectral clustering is one of the most widely used due to its speed and simplicity,

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::7eb0c8254b3614934164cc19305a761b
https://hal.archives-ouvertes.fr/hal-03095805v2/file/L1spectralHAL.pdf

Robust spectral clustering using LASSO regularization

Autor: Champion, Camille, Blazère, Mélanie, Burcelin, Rémy, Loubes, Jean-Michel, Risser, Laurent

Cluster structure detection is a fundamental task for the analysis of graphs, in order to understand and to visualize their functional characteristics. Among the different cluster structure detection methods, spectral clustering is currently one of t

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::66adc456af3c24af0d4bd6e08a31b859
http://arxiv.org/abs/2004.03845

Exploring variable selection in additive mixed effects models using group lasso

Autor: Avalos, Marta, Soret, Perrine, Meza, Cristian, Bertin, Karine, Ren, Hao, Hellard, Philippe

Publikováno v: 23rd Australian Statistical Conference
23rd Australian Statistical Conference, Statistical Society of Australia (SSA), Dec 2016, Canberra, Australia
23rd Australian Statistical Conference, Dec 2016, Canberra, Australia. 〈http://asc2016.com.au/〉

International audience; We consider the problem of estimating a high-dimensional additive mixed model for longitudinal data using sparse methods. In this problem, multiple measurements are made on the same subject across time, and then the different

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::815549fd0f552b6f933461d4dc7e59eb
https://hal.inria.fr/hal-01396767

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