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HyperRouter: Towards Efficient Training and Inference of Sparse Mixture of Experts., , , , , , , , , and . CoRR, (2023)CompeteSMoE - Effective Training of Sparse Mixture of Experts via Competition., , , , , , , , , and 1 other author(s). CoRR, (2024)A General Theory for Softmax Gating Multinomial Logistic Mixture of Experts., , , and . CoRR, (2023)A non-asymptotic penalization criterion for model selection in mixture of experts models., , , and . CoRR, (2021)Towards Convergence Rates for Parameter Estimation in Gaussian-gated Mixture of Experts., , , and . AISTATS, volume 238 of Proceedings of Machine Learning Research, page 2683-2691. PMLR, (2024)Towards Convergence Rates for Parameter Estimation in Gaussian-gated Mixture of Experts., , , and . CoRR, (2023)Demystifying Softmax Gating in Gaussian Mixture of Experts., , and . CoRR, (2023)A Non-asymptotic Risk Bound for Model Selection in a High-Dimensional Mixture of Experts via Joint Rank and Variable Selection., , , and . AI (2), volume 14472 of Lecture Notes in Computer Science, page 234-245. Springer, (2023)HyperRouter: Towards Efficient Training and Inference of Sparse Mixture of Experts., , , , , , , , , and . EMNLP, page 5754-5765. Association for Computational Linguistics, (2023)Summary statistics and discrepancy measures for approximate Bayesian computation via surrogate posteriors., , , and . Stat. Comput., 32 (5): 85 (2022)