Bayesian Learning

Efficient Bayesian network structure learning via local Markov boundary search NeurIPS 2021 Efficient Bayesian Network Structure Learning via Parameterized Local Search on Topological Orderings AAAI 2021 Efficient hierarchical Bayesian inference for spatio-temporal regression models in neuroimaging NeurIPS 2021 Entropy-based adaptive Hamiltonian Monte Carlo NeurIPS 2021 Estimating α-Rank by Maximizing Information Gain AAAI 2021 Event Outlier Detection in Continuous Time ICML 2021 Exact marginal prior distributions of finite Bayesian neural networks NeurIPS 2021 Exact Privacy Guarantees for Markov Chain Implementations of the Exponential Mechanism with Artificial Atoms NeurIPS 2021 Exploring the Uncertainty Properties of Neural Networks’ Implicit Priors in the Infinite-Width Limit ICLR 2021 Fast and Efficient DNN Deployment via Deep Gaussian Transfer Learning ICCV 2021 Fast Bayesian Inference for Gaussian Cox Processes via Path Integral Formulation NeurIPS 2021 FedBE: Making Bayesian Model Ensemble Applicable to Federated Learning ICLR 2021 Federated Learning via Posterior Averaging: A New Perspective and Practical Algorithms ICLR 2021 Filter-Based Online System-Parameter Estimation for Multicopter UAVs RSS 2021 Fine-Grained Zero-Shot Learning with DNA as Side Information NeurIPS 2021 Finite mixture models do not reliably learn the number of components ICML 2021 Flexible Signal Denoising via Flexible Empirical Bayes Shrinkage JMLR 2021 For high-dimensional hierarchical models, consider exchangeability of effects across covariates instead of across datasets NeurIPS 2021 Gaussian process nowcasting: application to COVID-19 mortality reporting UAI 2021 GemBag: Group Estimation of Multiple Bayesian Graphical Models JMLR 2021 Generative Particle Variational Inference via Estimation of Functional Gradients ICML 2021 GIBBON: General-purpose Information-Based Bayesian Optimisation JMLR 2021 Global inducing point variational posteriors for Bayesian neural networks and deep Gaussian processes ICML 2021 Gone Fishing: Neural Active Learning with Fisher Embeddings NeurIPS 2021 Graph Posterior Network: Bayesian Predictive Uncertainty for Node Classification NeurIPS 2021