Bayesian Learning

Rate-Distortion Analysis of Minimum Excess Risk in Bayesian Learning ICML 2021 Stochastic Transformer Networks With Linear Competing Units: Application To End-to-End SL Translation ICCV 2021 Streaming Bayesian Deep Tensor Factorization ICML 2021 What Are Bayesian Neural Network Posteriors Really Like? ICML 2021 A Contour Stochastic Gradient Langevin Dynamics Algorithm for Simulations of Multi-modal Distributions NeurIPS 2020 A Score-and-Search Approach to Learning Bayesian Networks with Noisy-OR Relations PGM 2020 BaKer-Nets: Bayesian Random Kernel Mapping Networks IJCAI 2020 Bayes Consistency vs. H-Consistency: The Interplay between Surrogate Loss Functions and the Scoring Function Class NeurIPS 2020 Bayesian Case-Exclusion and Personalized Explanations for Sustainable Dairy Farming (Extended Abstract) IJCAI 2020 Bayesian Deep Learning and a Probabilistic Perspective of Generalization NeurIPS 2020 Bayesian Hierarchical Words Representation Learning ACL 2020 Bayesian Learning from Sequential Data using Gaussian Processes with Signature Covariances ICML 2020 Bayesian Learning with Adaptive Load Allocation Strategies L4DC 2020 Bayesian model predictive control: Efficient model exploration and regret bounds using posterior sampling L4DC 2020 Bayesian Network Model Averaging Classifiers by Subbagging PGM 2020 Bayesian network structure learning with causal effects in the presence of latent variables PGM 2020 Bayesian Online Prediction of Change Points UAI 2020 Bayesian Sparsification of Deep C-valued Networks ICML 2020 BayesSuites: An Open Web Framework for Visualization of Massive Bayesian Networks PGM 2020 BCTH: A Novel Text Hashing Approach via Bayesian Clustering AACL 2020 Compositional uncertainty in deep Gaussian processes UAI 2020 Differentiable TAN Structure Learning for Bayesian Network Classifiers PGM 2020 Efficient Large-Scale Gaussian Process Bandits by Believing only Informative Actions L4DC 2020 Empirical Priors for Prediction in Sparse High-dimensional Linear Regression JMLR 2020 GOBNILP: Learning Bayesian network structure with integer programming PGM 2020