most citedModel Selection for Gaussian-gated Gaussian Mixture of Experts Using Dendrograms of Mixing Measures

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stat.ML2026

Revisiting Incremental Stochastic Majorization-Minimization Algorithms with Applications to Mixture of Experts

TrungKhang Tran, TrungTin Nguyen, Gersende Fort +5

Processing high-volume, streaming data is increasingly common in modern statistics and machine learning, where batch-mode algorithms are often impractical because they require repe…

stat.ML2025★ 1 cited

Model Selection for Gaussian-gated Gaussian Mixture of Experts Using Dendrograms of Mixing Measures

Tuan Thai, TrungTin Nguyen, Dat Do +2

Mixture of Experts (MoE) models constitute a widely utilized class of ensemble learning approaches in statistics and machine learning, known for their flexibility and computational…