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Bayesian Learning

455 directly classified papers

Papers per year

Papers

Structure Learning for Bayesian Networks over Labeled DAGs PGM 2018
Automorphing Kernels for Nonstationarity in Mapping Unstructured Environments CORL 2018
Bayesian RL for Goal-Only Rewards CORL 2018
A Data-Efficient Approach to Precise and Controlled Pushing CORL 2018
Bayesian Network Classifiers Under the Ensemble Perspective PGM 2018
An Order-based Algorithm for Learning Structure of Bayesian Networks PGM 2018
Bayesian multi-domain learning for cancer subtype discovery from next-generation sequencing count data NIPS 2018
Label-Sensitive Task Grouping by Bayesian Nonparametric Approach for Multi-Task Multi-Label Learning IJCAI 2018
Representing Social Media Users for Sarcasm Detection EMNLP 2018
Category-aware Next Point-of-Interest Recommendation via Listwise Bayesian Personalized Ranking IJCAI 2017
Discriminative Bayesian Nonparametric Clustering IJCAI 2017
Nonlinear Maximum Margin Multi-View Learning with Adaptive Kernel IJCAI 2017
Latent Feature Lasso ICML 2017
Bayesian Learning of Dynamic Multilayer Networks JMLR 2017
Scalable Bayesian Learning of Recurrent Neural Networks for Language Modeling ACL 2017
Bayesian Interaction Primitives: A SLAM Approach to Human-Robot Interaction CORL 2017
Active Incremental Learning of Robot Movement Primitives CORL 2017
Excess Risk Bounds for the Bayes Risk using Variational Inference in Latent Gaussian Models NIPS 2017
Learning Topic-Sensitive Word Representations ACL 2017
Bayesian Network Structure Learning with Integer Programming: Polytopes, Facets and Complexity (Extended Abstract) IJCAI 2017
No Learner Left Behind: On the Complexity of Teaching Multiple Learners Simultaneously IJCAI 2017
Compressed Nonparametric Language Modelling IJCAI 2017
Refinery: An Open Source Topic Modeling Web Platform JMLR 2017
Student Skill Models in Adaptive Testing PGM 2016
Variational Bayes on Monte Carlo Steroids NIPS 2016