Bayesian Learning

Few-Shot Bayesian Imitation Learning with Logical Program Policies AAAI 2020 Few-shot Relation Extraction via Bayesian Meta-learning on Relation Graphs ICML 2020 Fragmentation Coagulation Based Mixed Membership Stochastic Blockmodel AAAI 2020 GaSPing for Utility AAAI 2020 Generalised Bayesian Filtering via Sequential Monte Carlo NeurIPS 2020 General Latent Feature Models for Heterogeneous Datasets JMLR 2020 Generating Well-Formed Answers by Machine Reading with Stochastic Selector Networks AAAI 2020 GPIRT: A Gaussian Process Model for Item Response Theory UAI 2020 Graphical Models Meet Bandits: A Variational Thompson Sampling Approach ICML 2020 Greedy inference with structure-exploiting lazy maps NeurIPS 2020 Hierarchical Gaussian Process Priors for Bayesian Neural Network Weights NeurIPS 2020 How Good is the Bayes Posterior in Deep Neural Networks Really? ICML 2020 Identifiability and Consistency of Bayesian Network Structure Learning from Incomplete Data PGM 2020 Information Particle Filter Tree: An Online Algorithm for POMDPs with Belief-Based Rewards on Continuous Domains ICML 2020 Interpretable Models for Understanding Immersive Simulations IJCAI 2020 Introducing Routing Uncertainty in Capsule Networks NeurIPS 2020 Iterative Repair of Social Robot Programs from Implicit User Feedback via Bayesian Inference RSS 2020 Label Error Correction and Generation through Label Relationships AAAI 2020 Latent Geographical Factors for Analyzing the Evolution of Dialects in Contact EMNLP 2020 Latent Simplex Position Model: High Dimensional Multi-view Clustering with Uncertainty Quantification JMLR 2020 Learnable Bernoulli Dropout for Bayesian Deep Learning AISTATS 2020 Learning Bayesian Networks Under Sparsity Constraints: A Parameterized Complexity Analysis IJCAI 2020 Learning Big Gaussian Bayesian Networks: Partition, Estimation and Fusion JMLR 2020 Learning Interpretable Relationships between Entities, Relations and Concepts via Bayesian Structure Learning on Open Domain Facts ACL 2020 Learning in the Wild with Incremental Skeptical Gaussian Processes IJCAI 2020