13 citations · 22 across the 7 of their papers we have counts for
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stat.ML2021★ 1 cited
Muddling Labels for Regularization, a novel approach to generalization
Karim Lounici, Katia Meziani, Benjamin Riu
Generalization is a central problem in Machine Learning. Indeed most prediction methods require careful calibration of hyperparameters usually carried out on a hold-out \textit{val…
stat.ML2013★ 13 cited
Learning Heteroscedastic Models by Convex Programming under Group Sparsity
Arnak S. Dalalyan, Mohamed Hebiri, Katia Méziani +1
Popular sparse estimation methods based on -relaxation, such as the Lasso and the Dantzig selector, require the knowledge of the variance of the noise in order to properly…