Cover Image

Gaussian Mixture Model with unknown diagonal covariances via continuous sparse regularization

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Giard, Romane, de Castro, Yohann, Marteau, Clément
Format:	Preprint
Published:	2025
Subjects:	Statistics Theory Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Fast Spawn\&Prune (FS\&P): Global convergence of stochastic conic particle gradient descent via birth/death process
by: De Castro, Yohann, et al.
Published: (2026)

Effective regions and kernels in continuous sparse regularisation, with application to sketched mixtures
by: De Castro, Yohann, et al.
Published: (2025)

Minimax testing in a statistical inverse problem with unknown operator
by: Marteau, Clément, et al.
Published: (2025)

Adaptive posterior concentration rates for sparse high-dimensional linear regression with random design and unknown error variance
by: Mai, The Tien
Published: (2024)

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

Adaptive sparse variational approximations for Gaussian process regression
by: Nieman, Dennis, et al.
Published: (2025)

Anytime-valid t-tests and confidence sequences for Gaussian means with unknown variance
by: Wang, Hongjian, et al.
Published: (2023)

Scalable multitask Gaussian processes for complex mechanical systems with functional covariates
by: Gninkou, Razak Christophe Sabi, et al.
Published: (2026)

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

Estimation of sparse linear regression coefficients under $L$-subexponential covariates
by: Sasai, Takeyuki
Published: (2023)

Powerful rank verification for multivariate Gaussian data with any covariance structure
by: Sood, Anav
Published: (2025)

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

Nonparametric MLE for Gaussian Location Mixtures: Certified Computation and Generic Behavior
by: Polyanskiy, Yury, et al.
Published: (2025)

Sharp Inequalities between Total Variation and Hellinger Distances for Gaussian Mixtures
by: Jung, Joonhyuk, et al.
Published: (2026)

Ledoit-Wolf linear shrinkage with unknown mean
by: Oriol, Benoit, 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)

Dimension-Free Convergence of Diffusion Models for Approximate Gaussian Mixtures
by: Li, Gen, et al.
Published: (2025)

Off-the-grid learning of mixtures from a continuous dictionary
by: Butucea, Cristina, et al.
Published: (2022)

FastPart: Over-Parameterized Stochastic Gradient Descent for Sparse optimisation on Measures
by: De Castro, Yohann, et al.
Published: (2023)

Holdout cross-validation for large non-Gaussian covariance matrix estimation using Weingarten calculus
by: Lamrani, Lamia, et al.
Published: (2025)

Identifiability of Potentially Degenerate Gaussian Mixture Models With Piecewise Affine Mixing
by: Xu, Danru, et al.
Published: (2026)

Simultaneous off-the-grid learning of mixtures issued from a continuous dictionary
by: Butucea, Cristina, et al.
Published: (2022)

Learning Mixtures of Gaussians Using Diffusion Models
by: Gatmiry, Khashayar, et al.
Published: (2024)

Eventually LIL Regret: Almost Sure $\ln\ln T$ Regret for a sub-Gaussian Mixture on Unbounded Data
by: Agrawal, Shubhada, et al.
Published: (2025)

Optimal sparse phase retrieval via a quasi-Bayesian approach
by: Mai, The Tien
Published: (2025)

High-dimensional prediction for count response via sparse exponential weights
by: Mai, The Tien
Published: (2024)

Misclassification bounds for PAC-Bayesian sparse deep learning
by: Mai, The Tien
Published: (2024)

Testing properties of trees in graphical models with covariance queries
by: Burova, Sofiya, et al.
Published: (2026)

Estimating the Number of Components in Finite Mixture Models via Variational Approximation
by: Wang, Chenyang, et al.
Published: (2024)

Dendrograms of Mixing Measures for Softmax-Gated Gaussian Mixture of Experts: Consistency without Model Sweeps
by: Hai, Do Tien, et al.
Published: (2025)

Fundamental limits of distributed covariance matrix estimation via a conditional strong data processing inequality
by: Rahmani, Mohammad Reza, et al.
Published: (2025)

Sample-Efficient Private Learning of Mixtures of Gaussians
by: Ashtiani, Hassan, et al.
Published: (2024)

Classification by sparse generalized additive models
by: Abramovich, Felix
Published: (2022)

A sparse PAC-Bayesian approach for high-dimensional quantile prediction
by: Mai, The Tien
Published: (2024)

Testing for correlation between network structure and high-dimensional node covariates
by: Fuchs-Kreiss, Alexander, et al.
Published: (2025)

A non-asymptotic upper bound in prediction for the PLS estimator
by: Castelli, Luca, et al.
Published: (2024)

Exact Recovery of Community Detection in dependent Gaussian Mixture Models
by: Li, Zhongyang, et al.
Published: (2022)

Robust Model Selection of Gaussian Graphical Models
by: Zahin, Abrar, et al.
Published: (2022)

Variational Approach for Efficient KL Divergence Estimation in Dirichlet Mixture Models
by: Pal, Samyajoy, et al.
Published: (2024)

Hard labels sampled from sparse targets mislead rotation invariant algorithms
by: Ghosh, Avrajit, et al.
Published: (2026)