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Bayesian Learning

483 papers

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Papers

Active Structure Learning of Bayesian Networks in an Observational Setting JMLR 2022 Amortized Mixing Coupling Processes for Clustering NeurIPS 2022 BAMDT: Bayesian Additive Semi-Multivariate Decision Trees for Nonparametric Regression ICML 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 Bayesian Nonparametric Learning for Point Processes with Spatial Homogeneity: A Spatial Analysis of NBA Shot Locations ICML 2022 Bayesian subset selection and variable importance for interpretable prediction and classification JMLR 2022 Convergence of Feedback Arc Set-Based Heuristics for Linear Structural Equation Models PGM 2022 Deep Hierarchy in Bandits ICML 2022 Deep Reference Priors: What is the best way to pretrain a model? ICML 2022 Discovery and density estimation of latent confounders in Bayesian networks with evidence lower bound PGM 2022 Distributed Bayesian Varying Coefficient Modeling Using a Gaussian Process Prior JMLR 2022 Globally Gated Deep Linear Networks NeurIPS 2022 Improving Bayesian Neural Networks by Adversarial Sampling AAAI 2022 Interpreting Time-Varying Dynamic Bayesian Networks for Earth Climate Modelling PGM 2022 Joint 3D Object Detection and Tracking Using Spatio-Temporal Representation of Camera Image and LiDAR Point Clouds AAAI 2022 Knowledge-Aware Bayesian Deep Topic Model NeurIPS 2022 Knowledge transfer for learning subject-specific causal models PGM 2022 Latent Time Neural Ordinary Differential Equations AAAI 2022 Learning Noisy-Or Networks with an Application in Linguistics PGM 2022 Learning Sparse Fixed-Structure Gaussian Bayesian Networks AISTATS 2022 Metalearning Linear Bandits by Prior Update AISTATS 2022 Model-based Lifelong Reinforcement Learning with Bayesian Exploration NeurIPS 2022 Online PAC-Bayes Learning NeurIPS 2022 Online Updating of Conditional Linear Gaussian Bayesian Networks PGM 2022 On Uncertainty, Tempering, and Data Augmentation in Bayesian Classification NeurIPS 2022