Towards Convergence Rates for Parameter Estimation in Gaussian-gated Mixture of Experts
Fuente:
arXiv
Saved in:
| Main Authors: | Nguyen, Huy, Nguyen, TrungTin, Nguyen, Khai, Ho, Nhat |
|---|---|
| Format: | Preprint |
| Published: |
2023
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
On Parameter Estimation in Deviated Gaussian Mixture of Experts
by: Nguyen, Huy, et al.
Published: (2024)
by: Nguyen, Huy, et al.
Published: (2024)
A General Theory for Softmax Gating Multinomial Logistic Mixture of Experts
by: Nguyen, Huy, et al.
Published: (2023)
by: Nguyen, Huy, et al.
Published: (2023)
Model Selection for Gaussian-gated Gaussian Mixture of Experts Using Dendrograms of Mixing Measures
by: Thai, Tuan, et al.
Published: (2025)
by: Thai, Tuan, et al.
Published: (2025)
Dendrograms of Mixing Measures for Softmax-Gated Gaussian Mixture of Experts: Consistency without Model Sweeps
by: Hai, Do Tien, et al.
Published: (2025)
by: Hai, Do Tien, et al.
Published: (2025)
Convergence Rates for Softmax Gating Mixture of Experts
by: Nguyen, Huy, et al.
Published: (2025)
by: Nguyen, Huy, et al.
Published: (2025)
Risk Bounds for Mixture Density Estimation on Compact Domains via the $h$-Lifted Kullback--Leibler Divergence
by: Chong, Mark Chiu, et al.
Published: (2024)
by: Chong, Mark Chiu, et al.
Published: (2024)
Is Temperature Sample Efficient for Softmax Gaussian Mixture of Experts?
by: Nguyen, Huy, et al.
Published: (2024)
by: Nguyen, Huy, et al.
Published: (2024)
CompeteSMoE -- Effective Training of Sparse Mixture of Experts via Competition
by: Pham, Quang, et al.
Published: (2024)
by: Pham, Quang, et al.
Published: (2024)
On Least Square Estimation in Softmax Gating Mixture of Experts
by: Nguyen, Huy, et al.
Published: (2024)
by: Nguyen, Huy, et al.
Published: (2024)
Fast Model Selection and Stable Optimization for Softmax-Gated Multinomial-Logistic Mixture of Experts Models
by: Tran, TrungKhang, et al.
Published: (2026)
by: Tran, TrungKhang, et al.
Published: (2026)
Understanding Expert Structures on Minimax Parameter Estimation in Contaminated Mixture of Experts
by: Yan, Fanqi, et al.
Published: (2024)
by: Yan, Fanqi, et al.
Published: (2024)
On Minimax Estimation of Parameters in Softmax-Contaminated Mixture of Experts
by: Yan, Fanqi, et al.
Published: (2025)
by: Yan, Fanqi, et al.
Published: (2025)
Improving Minimax Estimation Rates for Contaminated Mixture of Multinomial Logistic Experts via Expert Heterogeneity
by: Yan, Fanqi, et al.
Published: (2026)
by: Yan, Fanqi, et al.
Published: (2026)
RepLoRA: Reparameterizing Low-Rank Adaptation via the Perspective of Mixture of Experts
by: Truong, Tuan, et al.
Published: (2025)
by: Truong, Tuan, et al.
Published: (2025)
Sigmoid Gating is More Sample Efficient than Softmax Gating in Mixture of Experts
by: Nguyen, Huy, et al.
Published: (2024)
by: Nguyen, Huy, et al.
Published: (2024)
On Expert Estimation in Hierarchical Mixture of Experts: Beyond Softmax Gating Functions
by: Nguyen, Huy, et al.
Published: (2024)
by: Nguyen, Huy, et al.
Published: (2024)
Fast Estimation of Wasserstein Distances via Regression on Sliced Wasserstein Distances
by: Nguyen, Khai, et al.
Published: (2025)
by: Nguyen, Khai, et al.
Published: (2025)
Towards Marginal Fairness Sliced Wasserstein Barycenter
by: Nguyen, Khai, et al.
Published: (2024)
by: Nguyen, Khai, et al.
Published: (2024)
Revisiting Incremental Stochastic Majorization-Minimization Algorithms with Applications to Mixture of Experts
by: Tran, TrungKhang, et al.
Published: (2026)
by: Tran, TrungKhang, et al.
Published: (2026)
Sliced Wasserstein Estimation with Control Variates
by: Nguyen, Khai, et al.
Published: (2023)
by: Nguyen, Khai, et al.
Published: (2023)
Quadratic Gating Mixture of Experts: Statistical Insights into Self-Attention
by: Akbarian, Pedram, et al.
Published: (2024)
by: Akbarian, Pedram, et al.
Published: (2024)
Mixture of Experts Meets Prompt-Based Continual Learning
by: Le, Minh, et al.
Published: (2024)
by: Le, Minh, et al.
Published: (2024)
Statistical Perspective of Top-K Sparse Softmax Gating Mixture of Experts
by: Nguyen, Huy, et al.
Published: (2023)
by: Nguyen, Huy, et al.
Published: (2023)
Statistical Advantages of Perturbing Cosine Router in Mixture of Experts
by: Nguyen, Huy, et al.
Published: (2024)
by: Nguyen, Huy, et al.
Published: (2024)
Rethinking Multinomial Logistic Mixture of Experts with Sigmoid Gating Function
by: Pham, Tuan Minh, et al.
Published: (2026)
by: Pham, Tuan Minh, et al.
Published: (2026)
On Bayesian Softmax-Gated Mixture-of-Experts Models
by: Bariletto, Nicola, et al.
Published: (2026)
by: Bariletto, Nicola, et al.
Published: (2026)
FuseMoE: Mixture-of-Experts Transformers for Fleximodal Fusion
by: Han, Xing, et al.
Published: (2024)
by: Han, Xing, et al.
Published: (2024)
One-Prompt Strikes Back: Sparse Mixture of Experts for Prompt-based Continual Learning
by: Le, Minh, et al.
Published: (2025)
by: Le, Minh, et al.
Published: (2025)
Energy-Based Sliced Wasserstein Distance
by: Nguyen, Khai, et al.
Published: (2023)
by: Nguyen, Khai, et al.
Published: (2023)
Hierarchical Hybrid Sliced Wasserstein: A Scalable Metric for Heterogeneous Joint Distributions
by: Nguyen, Khai, et al.
Published: (2024)
by: Nguyen, Khai, et al.
Published: (2024)
A Statistical Theory of Gated Attention through the Lens of Hierarchical Mixture of Experts
by: Nguyen, Viet, et al.
Published: (2026)
by: Nguyen, Viet, et al.
Published: (2026)
Structure-Aware E(3)-Invariant Molecular Conformer Aggregation Networks
by: Nguyen, Duy M. H., et al.
Published: (2024)
by: Nguyen, Duy M. H., et al.
Published: (2024)
Markovian Sliced Wasserstein Distances: Beyond Independent Projections
by: Nguyen, Khai, et al.
Published: (2023)
by: Nguyen, Khai, et al.
Published: (2023)
Data-Driven DRO and Economic Decision Theory: An Analytical Synthesis With Bayesian Nonparametric Advancements
by: Bariletto, Nicola, et al.
Published: (2024)
by: Bariletto, Nicola, et al.
Published: (2024)
Summarizing Bayesian Nonparametric Mixture Posterior -- Sliced Optimal Transport Metrics for Gaussian Mixtures
by: Nguyen, Khai, et al.
Published: (2024)
by: Nguyen, Khai, et al.
Published: (2024)
A Unified Framework for Variable Selection in Model-Based Clustering with Missing Not at Random
by: Ho, Binh H., et al.
Published: (2025)
by: Ho, Binh H., et al.
Published: (2025)
Quasi-Monte Carlo for 3D Sliced Wasserstein
by: Nguyen, Khai, et al.
Published: (2023)
by: Nguyen, Khai, et al.
Published: (2023)
Improving Routing in Sparse Mixture of Experts with Graph of Tokens
by: Nguyen, Tam, et al.
Published: (2025)
by: Nguyen, Tam, et al.
Published: (2025)
Sigmoid Self-Attention has Lower Sample Complexity than Softmax Self-Attention: A Mixture-of-Experts Perspective
by: Yan, Fanqi, et al.
Published: (2025)
by: Yan, Fanqi, et al.
Published: (2025)
Revisit Visual Prompt Tuning: The Expressiveness of Prompt Experts
by: Le, Minh, et al.
Published: (2025)
by: Le, Minh, et al.
Published: (2025)
Similar Items
-
On Parameter Estimation in Deviated Gaussian Mixture of Experts
by: Nguyen, Huy, et al.
Published: (2024) -
A General Theory for Softmax Gating Multinomial Logistic Mixture of Experts
by: Nguyen, Huy, et al.
Published: (2023) -
Model Selection for Gaussian-gated Gaussian Mixture of Experts Using Dendrograms of Mixing Measures
by: Thai, Tuan, et al.
Published: (2025) -
Dendrograms of Mixing Measures for Softmax-Gated Gaussian Mixture of Experts: Consistency without Model Sweeps
by: Hai, Do Tien, et al.
Published: (2025) -
Convergence Rates for Softmax Gating Mixture of Experts
by: Nguyen, Huy, et al.
Published: (2025)