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Bayesian Learning

455 papers

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Papers

Weakly Supervised Word Segmentation for Computational Language Documentation ACL 2022
Metalearning Linear Bandits by Prior Update AISTATS 2022
Random Effect Bandits AISTATS 2022
A Bayesian Approach for Stochastic Continuum-armed Bandit with Long-term Constraints AISTATS 2022
Learning Sparse Fixed-Structure Gaussian Bayesian Networks AISTATS 2022
Bayes at FigLang 2022 Euphemism Detection shared task: Cost-Sensitive Bayesian Fine-tuning and Venn-Abers Predictors for Robust Training under Class Skewed Distributions EMNLP 2022
Deep Reference Priors: What is the best way to pretrain a model? ICML 2022
Deep Hierarchy in Bandits ICML 2022
Wide Bayesian neural networks have a simple weight posterior: theory and accelerated sampling ICML 2022
BAMDT: Bayesian Additive Semi-Multivariate Decision Trees for Nonparametric Regression ICML 2022
Bayesian Nonparametric Learning for Point Processes with Spatial Homogeneity: A Spatial Analysis of NBA Shot Locations ICML 2022
PInKS: Preconditioned Commonsense Inference with Minimal Supervision IJCNLP 2022
Sparse Additive Gaussian Process Regression JMLR 2022
Distributed Bayesian Varying Coefficient Modeling Using a Gaussian Process Prior JMLR 2022
Bayesian subset selection and variable importance for interpretable prediction and classification JMLR 2022
Active Structure Learning of Bayesian Networks in an Observational Setting JMLR 2022
Scalable Gaussian-process regression and variable selection using Vecchia approximations JMLR 2022
Using Mixed-Effects Models to Learn Bayesian Networks from Related Data Sets PGM 2022
Online Updating of Conditional Linear Gaussian Bayesian Networks PGM 2022
Discovery and density estimation of latent confounders in Bayesian networks with evidence lower bound PGM 2022
Recursive autonomy identification-based learning of augmented naive Bayes classifiers PGM 2022
Interpreting Time-Varying Dynamic Bayesian Networks for Earth Climate Modelling PGM 2022
Knowledge transfer for learning subject-specific causal models PGM 2022
For high-dimensional hierarchical models, consider exchangeability of effects across covariates instead of across datasets NIPS 2021
Knowledge-Adaptation Priors NIPS 2021