Cover Image

Group Spike and Slab Variational Bayes

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Komodromos, Michael, Evangelou, Marina, Filippi, Sarah, Ray, Kolyan
Format:	Preprint
Published:	2023
Subjects:	Methodology Computation
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Logistic Variational Bayes Revisited
by: Komodromos, Michael, et al.
Published: (2024)

Bayesian Group Regularization in Generalized Linear Models with a Continuous Spike-and-Slab Prior
by: Bai, Ray
Published: (2020)

BiSSLB: Binary Spike-and-Slab Lasso Biclustering
by: Fan, Sijian, et al.
Published: (2026)

Bayesian Covariate-Dependent Graph Learning with a Dual Group Spike-and-Slab Prior
by: Zeng, Zijian, et al.
Published: (2024)

Strong Screening Rules for Group-based SLOPE Models
by: Feser, Fabio, et al.
Published: (2024)

Bayesian Variational Inference for Mixed Data Mixture Models
by: Wang, Junyang, et al.
Published: (2025)

The Spike-and-Slab Quantile LASSO for Robust Variable Selection in Cancer Genomics Studies
by: Liu, Yuwen, et al.
Published: (2024)

Spike-and-Slab Posterior Sampling in High Dimensions
by: Kumar, Syamantak, et al.
Published: (2025)

Multi-view biclustering via non-negative matrix tri-factorisation
by: Orme, Ella S. C., et al.
Published: (2025)

Covariate-Elaborated Robust Partial Information Transfer with Conditional Spike-and-Slab Prior
by: Zhang, Ruqian, et al.
Published: (2024)

Fast Variational Bayes for Large Spatial Data
by: Song, Jiafang, et al.
Published: (2025)

R-VGAL: A Sequential Variational Bayes Algorithm for Generalised Linear Mixed Models
by: Vu, Bao Anh, et al.
Published: (2023)

Mean-field Variational Bayes for Sparse Probit Regression
by: Fasano, Augusto, et al.
Published: (2026)

A Symmetric Random Scan Collapsed Gibbs Sampler for Fully Bayesian Variable Selection with Spike-and-Slab Priors
by: Chung, Mengta
Published: (2026)

A Gaussian Process Model for Ordinal Data with Applications to Chemoinformatics
by: Gosnell, Arron, et al.
Published: (2024)

Variational empirical Bayes variable selection in high-dimensional logistic regression
by: Tang, Yiqi, et al.
Published: (2025)

A Scalable Variational Bayes Approach for Fitting Non-Conjugate Spatial Generalized Linear Mixed Models via Basis Expansions
by: Lee, Jin Hyung, et al.
Published: (2025)

Variational Bayes and Truncation approximations for Enriched Dirichlet process mixtures
by: Bhadra, Somnath, et al.
Published: (2026)

Variational Inference for the Latent Shrinkage Position Model
by: Gwee, Xian Yao, et al.
Published: (2023)

Sparse high-dimensional linear mixed modeling with a partitioned empirical Bayes ECM algorithm
by: Zgodic, Anja, et al.
Published: (2023)

Variable Fusion and Selection via a Spike-and-Slab Approach with Nonlocal Priors
by: Miyake, Junya, et al.
Published: (2026)

Control Variates for MCMC
by: South, Leah, et al.
Published: (2024)

Bayes Factor Group Sequential Designs
by: Pawel, Samuel, et al.
Published: (2026)

Group COMBSS: Group Selection via Continuous Optimization
by: Mathur, Anant, et al.
Published: (2024)

Robust and Scalable Variational Bayes
by: Padilla, Carlos Misael Madrid, et al.
Published: (2025)

Scalable Variational Bayes Inference for Dynamic Variable Selection
by: Bianco, Nicolas, et al.
Published: (2023)

Variational Bayes for Mixture of Gaussian Structural Equation Models
by: Dang, Khue-Dung, et al.
Published: (2024)

Variational Inference for Sparse Poisson Regression
by: Kharabati, Mitra, et al.
Published: (2023)

Fast Variational Boosting for Latent Variable Models
by: Gunawan, David, et al.
Published: (2025)

Stochastic Gradient Variational Bayes in the Stochastic Blockmodel
by: Regueiro, Pedro, et al.
Published: (2024)

Variational Bayes Inference for Spatial Error Models with Missing Data
by: Wijayawardhana, Anjana, et al.
Published: (2024)

Variational approximate penalized credible regions for Bayesian grouped regression
by: Yu, Weichang, et al.
Published: (2026)

Bend to Mend: Toward Trustworthy Variational Bayes with Valid Uncertainty Quantification
by: Liu, Jiaming, et al.
Published: (2025)

A Bayes-Motivated Quadratic-Form Test for High-Dimensional Mean Testing
by: He, Daojiang, et al.
Published: (2025)

Deep Bayes Factors
by: Kim, Jungeum, et al.
Published: (2023)

Global Tests for Smoothed Functions in Mean Field Variational Additive Models
by: Meyer, Mark J., et al.
Published: (2024)

Pathwise Gradient Variance Reduction with Control Variates in Variational Inference
by: Ng, Kenyon, et al.
Published: (2024)

Spiking the training data to correct for test set contamination
by: Wei, Johnny Tian-Zheng, et al.
Published: (2026)

Rényi's $α$-divergence variational Bayes for spike-and-slab high-dimensional linear regression
by: Bsila, Chadi, et al.
Published: (2025)

Fast Variational Inference for Bayesian Factor Analysis in Single and Multi-Study Settings
by: Hansen, Blake, et al.
Published: (2023)