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Author

Abbas Khalili

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Open access Oct 2026

Learning sparse mixture‐of‐experts generalized linear models in ultrahigh dimensions

Motivated by the challenges of heterogeneity and high dimensionality in the analysis of modern data, we investigate continuous regularization methods for learning sparse mixture‐of‐experts generalized linear models (MoE‐GLM). Although there are foundational results about regularized estimators in a broad class of reg...

Peng Liu, Abbas Khalili · 0 citations
Preprint Oct 2026

Joint Estimation and Feature Selection in Overspecified Finite Mixture of Regressions

We investigate joint estimation and feature selection in sparse finite mixtures of regressions with an overspecified number of mixture components or mixture order. More specifically, given a conservative fixed upper bound on the unknown mixture order, we deliberately overspecify the order and propose a double-penalized...

Abbas Khalili, Peng Liu, Huy Nguyen et al. · 0 citations

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