conftrace_

posterior consistency

16 papers

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Co-occurring keywords

bayesian inference (1907) bayesian nonparametrics (270) bayesian regression (25) mixture model (262) dirichlet process (132) dirichlet process mixture (24) bayesian neural network (201) tensor regression (19) posterior inference (138) gibbs sampling (201)

Papers

Frequentist Guarantees of Distributed (Non)-Bayesian Inference JMLR 2025
Bayesian Scalar-on-Image Regression with a Spatially Varying Single-layer Neural Network Prior JMLR 2025
Nonparametric Copula Models for Multivariate, Mixed, and Missing Data JMLR 2024
Flexible Bayesian Product Mixture Models for Vector Autoregressions JMLR 2024
Posterior Consistency for Bayesian Relevance Vector Machines JMLR 2023
Consistent Model-based Clustering using the Quasi-Bernoulli Stick-breaking Process JMLR 2023
Towards a Unified Framework for Uncertainty-aware Nonlinear Variable Selection with Theoretical Guarantees NIPS 2022
Asymptotic Properties for Bayesian Neural Network in Besov Space NIPS 2022
Soft Tensor Regression JMLR 2021
Mixing Time of Metropolis-Hastings for Bayesian Community Detection JMLR 2021
Finite mixture models do not reliably learn the number of components ICML 2021
Multi-way Interacting Regression via Factorization Machines NIPS 2017
Bayesian Tensor Regression JMLR 2017
Inconsistency of Pitman-Yor Process Mixtures for the Number of Components JMLR 2014
A simple example of Dirichlet process mixture inconsistency for the number of components NIPS 2013
Posterior Consistency of the Silverman g-prior in Bayesian Model Choice NIPS 2008