:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Liu, Xinyu, Zhang, Hai
Format:	Preprint
Published:	2026
Subjects:	Machine Learning
Online Access:	https://arxiv.org/abs/2603.19657
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Model Selection and Parameter Estimation of One-Dimensional Gaussian Mixture Models
by: Liu, Xinyu, et al.
Published: (2024)

Estimating the Joint Probability of Scenario Parameters with Gaussian Mixture Copula Models
by: Reichenbächer, Christian, et al.
Published: (2025)

On Parameter Estimation in Deviated Gaussian Mixture of Experts
by: Nguyen, Huy, et al.
Published: (2024)

Towards Convergence Rates for Parameter Estimation in Gaussian-gated Mixture of Experts
by: Nguyen, Huy, et al.
Published: (2023)

Federated Gaussian Mixture Models
by: Pettersson, Sophia Zhang, et al.
Published: (2025)

GatePro: Parameter-Free Expert Selection Optimization for Mixture-of-Experts Models
by: Zheng, Chen, et al.
Published: (2025)

Deep Equilibrium Models are Almost Equivalent to Not-so-deep Explicit Models for High-dimensional Gaussian Mixtures
by: Ling, Zenan, et al.
Published: (2024)

Robust Federated Personalised Mean Estimation for the Gaussian Mixture Model
by: Managoli, Malhar A., et al.
Published: (2025)

Sublinear Variational Optimization of Gaussian Mixture Models with Millions to Billions of Parameters
by: Salwig, Sebastian, et al.
Published: (2025)

Adaptive Mean Estimation in the Hidden Markov sub-Gaussian Mixture Model
by: Karagulyan, Vahe, et al.
Published: (2024)

Multi-fidelity Parameter Estimation Using Conditional Diffusion Models
by: Tatsuoka, Caroline, et al.
Published: (2025)

Multi-Subspace Multi-Modal Modeling for Diffusion Models: Estimation, Convergence and Mixture of Experts
by: Yang, Ruofeng, et al.
Published: (2026)

Structured Diffusion Models with Mixture of Gaussians as Prior Distribution
by: Jia, Nanshan, et al.
Published: (2024)

AutoGMM: Automatic Gaussian Mixture Modeling in Python
by: Liu, Tingshan, et al.
Published: (2019)

Diffusion Model Conditioning on Gaussian Mixture Model and Negative Gaussian Mixture Gradient
by: Lu, Weiguo, et al.
Published: (2024)

Go With the Flow: Fast Diffusion for Gaussian Mixture Models
by: Rapakoulias, George, et al.
Published: (2024)

Model Selection for Gaussian-gated Gaussian Mixture of Experts Using Dendrograms of Mixing Measures
by: Thai, Tuan, et al.
Published: (2025)

Analysis of High-dimensional Gaussian Labeled-unlabeled Mixture Model via Message-passing Algorithm
by: Gu, Xiaosi, et al.
Published: (2024)

Local Minima Structures in Gaussian Mixture Models
by: Chen, Yudong, et al.
Published: (2020)

Statistical Inference in Classification of High-dimensional Gaussian Mixture
by: Huang, Hanwen, et al.
Published: (2024)

On Minimax Estimation of Parameters in Softmax-Contaminated Mixture of Experts
by: Yan, Fanqi, et al.
Published: (2025)

Individual-heterogeneous sub-Gaussian Mixture Models
by: Qing, Huan
Published: (2026)

Gaussian Mixture Flow Matching Models
by: Chen, Hansheng, et al.
Published: (2025)

Analysis of Estimating the Bayes Rule for Gaussian Mixture Models with a Specified Missing-Data Mechanism
by: Lyu, Ziyang
Published: (2022)

Spatial Covariance Constraints for Gaussian Mixture Models
by: Lu, Hanzhang, et al.
Published: (2026)

Robust Unsupervised Multi-task and Transfer Learning on Gaussian Mixture Models
by: Tian, Ye, et al.
Published: (2022)

Diagonally-Weighted Generalized Method of Moments Estimation for Gaussian Mixture Modeling
by: Zhang, Liu, et al.
Published: (2025)

Lighter, Better, Faster Multi-Source Domain Adaptation with Gaussian Mixture Models and Optimal Transport
by: Montesuma, Eduardo Fernandes, et al.
Published: (2024)

Confirmation Bias in Gaussian Mixture Models
by: Balanov, Amnon, et al.
Published: (2024)

Magnitude Pruning of Large Pretrained Transformer Models with a Mixture Gaussian Prior
by: Zhang, Mingxuan, et al.
Published: (2024)

MoLAE: Mixture of Latent Experts for Parameter-Efficient Language Models
by: Liu, Zehua, et al.
Published: (2025)

PERFT: Parameter-Efficient Routed Fine-Tuning for Mixture-of-Expert Model
by: Liu, Yilun, et al.
Published: (2024)

Understanding Self-Supervised Learning via Gaussian Mixture Models
by: Bansal, Parikshit, et al.
Published: (2024)

Scalable Expectation Estimation with Subtractive Mixture Models
by: Zellinger, Lena, 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)

Facet-Aware Multi-Head Mixture-of-Experts Model for Sequential Recommendation
by: Liu, Mingrui, et al.
Published: (2024)

Graph-Regularized Learning of Gaussian Mixture Models
by: Abdurakhmanova, Shamsiiat, et al.
Published: (2025)

Uncertainty-Aware PCA for Arbitrarily Distributed Data Modeled by Gaussian Mixture Models
by: Klötzl, Daniel, et al.
Published: (2025)

Gem: Gaussian Mixture Model Embeddings for Numerical Feature Distributions
by: Rauf, Hafiz Tayyab, et al.
Published: (2024)

uGMM-NN: Univariate Gaussian Mixture Model Neural Network
by: Ali, Zakeria Sharif
Published: (2025)