Mixture-of-expert (MOE) models are machine learning methods that model heterogeneous behavior across data space using an ensemble of learners, making them suitable for dynamic data that exhibit non-stationarity and heavy-tailed errors.

Authors

• Person: Samuel Tesfazgi, Leonhard Sprandl, Sandra Hirche Organization: AISTATS
  Track: Poster Session 3 - aistats 2026

Sources

• Track: Poster Session 3 - aistats 2026 virtual.aistats.org Samuel Tesfazgi, Leonhard Sprandl, Sandra Hirche · AISTATS via serper

Referenced by nodes (1)

• machine learning concept