spike-and-slab prior

Bayesian Sparse Gaussian Mixture Model for Clustering in High Dimensions JMLR 2025 Spike-and-Slab Posterior Sampling in High Dimensions COLT 2025 Equation Discovery with Bayesian Spike-and-Slab Priors and Efficient Kernels AISTATS 2024 Asymptotic Properties for Bayesian Neural Network in Besov Space NeurIPS 2022 Bayesian streaming sparse Tucker decomposition UAI 2021 Information Directed Sampling for Sparse Linear Bandits NeurIPS 2021 Streaming Bayesian Deep Tensor Factorization ICML 2021 Bayesian Model Selection with Graph Structured Sparsity JMLR 2020 Efficient Variational Inference for Sparse Deep Learning with Theoretical Guarantee NeurIPS 2020 To Avoid the Pitfall of Missing Labels in Feature Selection: A Generative Model Gives the Answer AAAI 2020 An Adaptive Empirical Bayesian Method for Sparse Deep Learning NeurIPS 2019 Bayesian Joint Spike-and-Slab Graphical Lasso ICML 2019 Bayesian Inference for Spatio-temporal Spike-and-Slab Priors JMLR 2017 Select-and-Sample for Spike-and-Slab Sparse Coding NeurIPS 2016 Bayesian Inference for Structured Spike and Slab Priors NeurIPS 2014 Distributed Bayesian Posterior Sampling via Moment Sharing NeurIPS 2014 Sparse Bayesian Variable Selection for the Identification of Antigenic Variability in the Foot-and-Mouth Disease Virus AISTATS 2014 Auxiliary-variable Exact Hamiltonian Monte Carlo Samplers for Binary Distributions NeurIPS 2013 Demixing odors - fast inference in olfaction NeurIPS 2013 Generalized Spike-and-Slab Priors for Bayesian Group Feature Selection Using Expectation Propagation JMLR 2013 Why MCA? Nonlinear sparse coding with spike-and-slab prior for neurally plausible image encoding NeurIPS 2012 Spike and Slab Variational Inference for Multi-Task and Multiple Kernel Learning NeurIPS 2011 Bayesian Sparse Factor Models and DAGs Inference and Comparison NeurIPS 2009 Regulator Discovery from Gene Expression Time Series of Malaria Parasites: a Hierachical Approach NeurIPS 2007