Bayesian Learning

An Order-based Algorithm for Learning Structure of Bayesian Networks PGM 2018 A sum-product algorithm with polynomials for computing exact derivatives of the likelihood in Bayesian networks PGM 2018 Automorphing Kernels for Nonstationarity in Mapping Unstructured Environments CoRL 2018 Bayesian multi-domain learning for cancer subtype discovery from next-generation sequencing count data NeurIPS 2018 Bayesian Network Classifiers Under the Ensemble Perspective PGM 2018 Bayesian Network Structure Learning with Side Constraints PGM 2018 Bayesian RL for Goal-Only Rewards CoRL 2018 Efficiently Sampling from Underlying Models RSS 2018 Exact learning augmented naive Bayes classifier PGM 2018 Finding Optimal Bayesian Networks with Local Structure PGM 2018 Formal Verification of Bayesian Network Classifiers PGM 2018 Geometric Robustness of Deep Networks: Analysis and Improvement CVPR 2018 Instance-Specific Bayesian Network Structure Learning PGM 2018 Interactive Optimal Teaching with Unknown Learners IJCAI 2018 Label-Sensitive Task Grouping by Bayesian Nonparametric Approach for Multi-Task Multi-Label Learning IJCAI 2018 Learning Bayesian Networks by Branching on Constraints PGM 2018 Learning Structural Weight Uncertainty for Sequential Decision-Making AISTATS 2018 Naive Bayesian Classifiers with Extreme Probability Features PGM 2018 On Robust Trimming of Bayesian Network Classifiers IJCAI 2018 On the Relative Expressiveness of Bayesian and Neural Networks PGM 2018 Representing Social Media Users for Sarcasm Detection EMNLP 2018 Scalable Initial State Interdiction for Factored MDPs IJCAI 2018 Structure Learning for Bayesian Networks over Labeled DAGs PGM 2018 Who Learns Better Bayesian Network Structures: Constraint-Based, Score-based or Hybrid Algorithms? PGM 2018 Active Incremental Learning of Robot Movement Primitives CoRL 2017