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cond-mat.dis-nn2023
Average case analysis of Lasso under ultra-sparse conditions
Koki Okajima, Xiangming Meng, Takashi Takahashi +1
We analyze the performance of the least absolute shrinkage and selection operator (Lasso) for the linear model when the number of regressors grows larger keeping the true suppo…
cond-mat.dis-nn2020★ 1 cited
Structure Learning in Inverse Ising Problems Using -Regularized Linear Estimator
Xiangming Meng, Tomoyuki Obuchi, Yoshiyuki Kabashima
The inference performance of the pseudolikelihood method is discussed in the framework of the inverse Ising problem when the -regularized (ridge) linear regression is adopt…